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Introduction In accordance with its mandate to provide normative guidance to Member States on health policy matters, WHO issues a series of regularly updated position papers on vaccines and combinations [...]

Background and Aims: Highly cited papers (HCPs) can influence both research and clinical practice. They help to identify core literature and important advances in a field. This study aimed to assess the current status and prospects of South Asia COVID-19 research from the HCPs using bibliometric indicators. Methodology: COVID-19 literature from South Asia published between December 2019 and 29 November 2023 in the Scopus database was analysed. The top HCPs, having more than 200 citations, were evaluated. Information about citation counts, authors and organisations and their affiliations, year of publication, source journal, geographical origin, subject, article type, funding details, etc. were retrieved and analysed. Data and visualisation analysis was undertaken using Microsoft Excel and other bibliometric software. Results: The 298 South Asia HCPs were published from 2020 to 2023 and were cited 200–3,596 times, with a mean average of 413.9 citations per paper (CPP). Around 24.5% and 51.3% of HCPs received external funding support and were involved in international collaboration, respectively. The most productive organisations were the Postgraduate Institute of Medical Education and Research, Chandigarh, and the Indian Institute of Technology, New Delhi, while the most impactful organisations were Bai Jerbai Wadia Hospital for Children, Mumbai, and Kokilaben Dhirubhai Ambani Hospital & Medical Research Institute, Mumbai. The most productive journals were Diabetes and Metabolic Syndrome: Clinical Research & Reviews. Conclusions: This study has identified core and significant authors, organisations, journals, subject fields and significant keywords, collaborators and funding agencies involved in South Asia's COVID-19 research. [ABSTRACT FROM AUTHOR]

Introduction In accordance with its mandate to provide normative guidance to Member States on health policy matters, WHO issues a series of regularly updated position papers on vaccines and combinations [...]

Background: Unhealthy diet is a key risk factor for Non-Communicable Diseases (NCDs) that contribute to increased morbidity and premature mortality. With increased computer literacy and mobile phone penetration, there is a high opportunity for mobile application-based interventions. The current study was conducted to develop a mobile application to monitor dietary intake and to assess its acceptability and effectiveness in diet control compared to a similar paper-based intervention. A mobile application was developed based on research evidence and opinions of local experts. The mobile application was introduced to a selected group of office workers who were in preparation, action, and maintenance stages of the Trans Theoretical Model (TTM) and a paper-based intervention was used as the comparator. Socio-demographic data were collected through a self-administered questionnaire. Participants were followed up for three months for adherence. The effectiveness of interventions was assessed at the end of three months by comparing the progressive change in the stage of change and the change from unhealthy to healthy dietary intake between two groups as primary and secondary outcomes respectively. Results: Among 123 office workers who participated in the study, 19.5% preferred the mobile intervention over the paper-based intervention. Younger, unmarried office workers and those who do not have children, had a higher acceptance for the mobile intervention (p < 0.05). There was no difference in adherence (in all three months) or outcomes between the two groups of intervention. Conclusion and recommendations: Mobile application-based interventions are better accepted among the young age group and further studies are recommended to explore their applicability. Trial registration: The study was registered in the Sri Lankan Clinical Trial Registry (Registration No. SLCTR/2020/025; Date 15th December 2020). [ABSTRACT FROM AUTHOR]

In research, outcomes are often categorized as primary and secondary. The primary outcome is the most important one; it determines whether the study is considered 'successful' or not. Secondary outcomes are chosen because they provide supporting evidence for the results of the primary outcome or additional information about the subject being studied. For reasons that are explained in this paper, secondary outcomes should be cautiously interpreted. There are varying practices regarding publishing secondary outcomes. Some authors publish these separately, while others include them in the main publication. In some contexts, the former can lead to concerns about the quality and relevance of the data being published. In this article, we discuss primary and secondary outcomes, the importance and interpretation of secondary outcomes, and considerations for publishing multiple outcomes in separate papers. We also discuss the special case of secondary analyses and post hoc analyses and provide guidance on good publishing practices. Throughout the article, we use relevant examples to make these concepts easier to understand. While the article is primarily aimed at early career researchers, it offers insights that may be helpful to researchers, reviewers, and editors across all levels of expertise. [ABSTRACT FROM AUTHOR]

Introduction In accordance with its mandate to provide normative guidance to Member States on health policy matters, WHO issues a series of regularly updated position papers on vaccines and combinations [...]

Purpose: This paper outlines the theoretical and empirical basis for compassion focused therapy (CFT) for psychosis, the gaps in the current knowledge and research, as well as some of the challenges for addressing gaps. It will guide the direction of future work and the steps needed to develop and advance this approach. Method: This paper reviews evidence of how evolutionary models such as social rank theory and attachment theory have greatly contributed to our understanding of psychosis and provide a clear rationale and evidence base for the mechanisms of change in CFT for psychosis. It reviews the evidence for outcomes of compassion training more generally, and early feasibility evaluations of CFT for psychosis. Results: The process evidence shows that people with psychosis have highly active social rank and threat systems, and the benefits of switching into attachment and care systems, which can support emotion regulation and integrative mind states. The outcomes evidence shows that compassion training impacts not only psychological outcomes, but also physiological outcomes such as neural circuits, immune system, and the autonomic nervous system. Within the psychosis field, outcomes research is still in the early days, but there are good indications of feasibility and a clear path forward for the next steps. Conclusions: CFT for psychosis is an approach that integrates biopsychosocial processes, an integration that's evidenced across each aspect of the model, from theoretical foundations (evolution‐informed) to interventions (e.g., body/breath training and relational techniques), to evaluation. Future RCTs are required to understand the effects on biopsychosocial outcomes for people with psychosis. [ABSTRACT FROM AUTHOR]

Identifying factors that associate with more cited or higher quality research may be useful to improve science or to support research evaluation. This article reviews evidence for the existence of such factors in article text and metadata. It also reviews studies attempting to estimate article quality or predict long‐term citation counts using statistical regression or machine learning for journal articles or conference papers. Although the primary focus is on document‐level evidence, the related task of estimating the average quality scores of entire departments from bibliometric information is also considered. The review lists a huge range of factors that associate with higher quality or more cited research in some contexts (fields, years, journals) but the strength and direction of association often depends on the set of papers examined, with little systematic pattern and rarely any cause‐and‐effect evidence. The strongest patterns found include the near universal usefulness of journal citation rates, author numbers, reference properties, and international collaboration in predicting (or associating with) higher citation counts, and the greater usefulness of citation‐related information for predicting article quality in the medical, health and physical sciences than in engineering, social sciences, arts, and humanities. [ABSTRACT FROM AUTHOR]

Open data as an integral part of the open science movement enhances the openness and sharing of scientific datasets. Nevertheless, the normative utilization of data journals, data papers, scientific datasets, and data citations necessitates further research. This study aims to investigate the citation practices associated with data papers and to explore the role of data papers in disseminating scientific datasets. Dataset accession numbers from NCBI databases were employed to analyze the prevalence of data citations for data papers from PubMed Central. A dataset citation practice identification rule was subsequently established. The findings indicate a consistent growth in the number of biomedical data journals published in recent years, with data papers gaining attention and recognition as both publications and data sources. Although the use of data papers as citation sources for data remains relatively rare, there has been a steady increase in data paper citations for data utilization through formal data citations. Furthermore, the increasing proportion of datasets reported in data papers that are employed for analytical purposes highlights the distinct value of data papers in facilitating the dissemination and reuse of datasets to support novel research. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to retrieve and study the highly cited papers as well as the correlation between the citation frequency and the download frequency of the 20 traditional Chinese medicine journals in China, in order to provide the guidance for improving the influence and academic quality of these journals. Bibliometric analyses were conducted on 1103 papers of 20 traditional Chinese medicine journals from 2011 to 2020 by retrieving for the China Academic Journal Network Publishing Database (CAJD) in China National Knowledge Infrastructure (CNKI). SPSS 17.0 software was used to analyze the correlation between the citation frequency and the download frequency via conducting regression fitting and establishing the mathematical models. The results showed that the total citations of the 1103 papers were 93051 times and the average citations were 84.36 times per paper. The total downloads of the 1103 papers were 2058442 times, and the average downloads were 1866.22 times per paper. China Journal of Chinese Materia Medica ranked first according to the number of papers, total citations and total downloads. The citations of Journal of Chinese Medicinal Materials ranked first based on the number of citations per paper. One of Li's paper had been cited the most (983 times). There were 629 (57.03%) papers whose first author was from universities. The scopes of the first authors were distributed in 29 regions and 2 special administrative regions (Macao, Hong Kong) in China. The authors from Beijing published 283 (25.66%) papers, ranking number one. The number of papers supported by funds was 882 (79.96%). The research results of correlation showed that the citation frequency and the download frequency of the highly cited papers had a highly positive correlation from both journal and paper level for whether the sample data of journals was normally distributed or nonnormally distributed. The correlation coefficients of the 20 journals at journal level and that at paper level were 0.9765 and 0.6677, respectively. The correlation was better at journal level than that at paper level, while the optimal regression fitting was all cubic polynomial. Among the 1103 papers, there were 684 (62.01%) research papers and 419 (37.99%) review papers. The main citation period of the top 15 papers was from the 2nd year to the 6th year after publication, accounting for 78.39%. Papers on clinical therapeutics research, papers on the pharmacological effects and its mechanism of traditional Chinese medicine, and papers on traditional Chinese medicine and natural medicine were the main source of the highly cited papers of the traditional Chinese medicine journals. Editors of the journals should focus on the above-mentioned research areas to select manuscripts for exploiting the excellent sources extensively, while paying attention to review papers, focusing on national major or key projects, paying attention to network spreading, stabilizing authors with quality services, in order to improve the influence and the academic quality of journals. [ABSTRACT FROM AUTHOR]

The article provides a guide on writing original research papers, emphasizing the importance of adhering to international guidelines and journal-specific instructions for successful publication. It also discusses the preparation of research papers from early study phases, the use of guidelines such as CONSORT and STROBE for different research types, and the need for clear, concise scientific language.

Background and Purpose: Patient-Reported Measured Outcomes (PROMs) are essential to gain a full understanding of a patient's condition, and in spine surgery, these questionnaires are of help when tailoring a surgical strategy. Electronic registries allow for a systematic collection and storage of PROMs, making them readily available for clinical and research purposes. This study aimed to investigate the reliability between the electronic and paper form of ODI (Oswestry Disability Index), SF-36 (Short Form Health Survey 36) and COMI-back (Core Outcome Measures Index for the back) questionnaires. Methods: A prospective analysis was performed of ODI, SF-36 and COMI-back questionnaires collected in paper and electronic format in two patients' groups: Pre-Operatively (PO) or at follow-up (FU). All patients, in both groups, completed the three questionnaires in paper and electronic form. The correlation between both methods was assessed with the Intraclass Correlation Coefficients (ICC). Results: The data from 100 non-consecutive, volunteer patients with a mean age of 55.6 ± 15.0 years were analysed. For all of the three PROMs, the reliability between paper and electronic questionnaires results was excellent (ICC: ODI = 0.96; COMI = 0.98; SF36-MCS = 0.98; SF36-PCS = 0.98. For all p < 0.001). Conclusions: This study proved an excellent reliability between the electronic and paper versions of ODI, SF-36 and COMI-back questionnaires collected using a spine registry. This validation paves the way for stronger widespread use of electronic PROMs. They offer numerous advantages in terms of accessibility, storage, and data analysis compared to paper questionnaires. [ABSTRACT FROM AUTHOR]

Purpose: The main objective of this study is to evaluate the impact of Persian Scientific Papers (PSPs) on Persian Wikipedia by studying Wikipedia's citations to these papers. Design/methodology/approach: The present study is applied research, which has been performed by the web-mining method, such as downloading web pages, extracting information (references), identifying papers, detecting peer-review journals and calculating the frequency rates. The statistical population included 10,000 Persian Wikipedia Pages (PWPs) that were analyzed in two rounds with a six-month interval. Findings: The number of pages containing the Persian references section was 3,994 and 4,063 out of the 10,000 pages extracted in the first and second rounds. The ratio of pages that cited scientific sources (58 and 67 pages) to the pages extracted from the PWP was equal to 0.58 and 0.67%. The ratio of pages that cited scientific sources to pages with Persian references in each round was equal to 1.45 and 1.64%. The number of references extracted from the PWP in each round equaled 30,441 and 35,891. Eight titles from reputable Persian journals had received at least three citations from Wikipedia. Originality/value: The present study has determined the extent of interaction between science and society (knowledge flow) in the form of citations from Wikipedia articles to articles in peer-reviewed journals. The study of this issue in Persian Wikipedia in more than 2000 Persian peer-reviewed journals shows the originality of the present paper. Studying citation reliability in a collaborative and openly editable platform is another originality of the work. [ABSTRACT FROM AUTHOR]

Background: There have been several papers published about pemphigus. Bibliometric analysis is useful in determining the most significant research in a certain topic. By bibliometric research, we were able to determine the 100 most frequently reference articles in pemphigus. Aims and Objective: Using bibliometric tools to find and evaluate the top 100 most reference papers in pemphigus. Materials and Methods: On 19 February 2023, the Web of Science database was utilized to launch a title-specific search. Publications were listed in degrading order on the basis of their total citations. We examined the top 100 most reference pemphigus publications. Results: The years of publication varied from 1971 to 2020, with the 1990s being the most active. According to diverse study objectives, the 100 publications were separated into clinical aspects and diagnosis (20%), pathophysiology (52%), therapy (13%), epidemiology (8%), related disorders (1%) and others (6%). The 100 papers were published in 37 different publications. The top 100 reference articles included 54 first authors of 11 nations, most of whom came from North America and Europe. Stanley, J R, from Uniformed Services University of the Health Sciences, was the principal author. Conclusions: A thorough bibliometric research of the top 100 publications in pemphigus was provided by the research, which may be useful for future research. [ABSTRACT FROM AUTHOR]

This article discusses a literature search that was conducted to identify the top 100 cited papers in cutaneous lupus erythematosus (CLE). CLE is a subset of lupus erythematosus characterized by autoimmune-mediated skin manifestations. The search yielded 5750 articles, and the top 100 most cited articles were categorized into basic science research, clinical research, or new treatment categories. The majority of the top cited articles were clinical research articles, indicating their impact on research and clinical practice. The findings reveal important contributions to understanding CLE's pathogenesis, epidemiology, and management, providing valuable insights for researchers, clinicians, and funders in the field of autoimmune skin disorders. [Extracted from the article]

Retractions of peer-reviewed biomedical journal articles with Indian authorship have been on the rise for many years. Our study aimed to investigate the reason behind these retractions, namely plagiarism, falsification, fabrication, duplicate publication, author conflicts, ethical issues, fake peer-reviews, and data-related issues, besides providing year-wise trends regarding retraction, authorship, impact factor, and citations. We retrieved retracted publications with Indian affiliations indexed in MEDLINE between 1 January 1990 to 31 December 2021. During this period a total of 619 papers from 372 different journals with median values (interquartile range) pertaining to impact factor [3.2 (1.5, 5.2)], retraction time [24 (10, 51)] months, pre-retraction citations [4 (1, 12)], and post-retraction citations [4 (2, 12)] were retracted. While retractions still account for a small fraction of all publications (0.1%), the overall rate of retractions, that is, the number of retractions relative to the number of newly published journal articles in a given year, has been increasing. The reasons for retractions included plagiarism (27%), falsification and fabrication (26%), duplicate publication (21%), erroneous data (12%), authorship issues (4%), fake-peer reviews (3%), and ethical and funding issues (2%). We have analysed these reasons separately and compared them with each other. Besides a spurt in retraction due to plagiarism, instances of falsification have been escalating over the past decade. Half of the papers retracted on grounds of falsification were published by repeat offender authors in high-impact journals. Furthermore, 82% of retracted papers continued to accumulate citations even after the release of the journal retraction notices. The increase in retractions raises concerns over research quality as well as the wastage of scientific resources, which is especially pressing considering the present environment of scarce funding. The problem of retractions due to reasons such as plagiarism, duplicate publication, authorship issues, and, ethical issues as well as post-retraction citations can be mitigated by educating and raising awareness on publication ethics and responsible research conduct of researchers and journal publishers. Retractions due to fabrication, falsification, and fake peer reviews are more challenging to difficult to address and require further research for the identification of effective solutions. [ABSTRACT FROM AUTHOR]

This study examined the current approach to the inclusion of race and ethnicity among frequently referenced shoulder surgery literature and discussed guidance for best practices for the inclusion of race and ethnicity in shoulder research. The shoulder literature were systematically reviewed for the most frequently cited studies discussing rotator cuff repair, total shoulder arthroplasty, and Bankart repair. All reviewed studies met the timeline criteria (2013-2022). Only studies with clinical outcomes were included. Review articles, meta-analyses, systematic reviews, basic science studies, or any manuscript that did not represent clinical outcomes research were excluded. Author, year issued, the journal in which the paper was published, study design, the number of subjects, duration of follow-up, independent variables, dependent variables, results, and conclusions were extracted from the articles that met the inclusion criteria. Whether race and/or ethnicity were included in the study design in any way was also recorded. For those studies in which race and ethnicity were included, a detailed analysis of the paper's treatment of race using the JAMA Updated Guidance on Reporting of Race and Ethnicity in Medical and Science Journals was performed and recorded. In the "rotator cuff repair" cohort of papers, there were 2 articles that mention race. Out of the 2 articles that mentioned race, neither included race appropriately using the JAMA Updated Guidance on Reporting of Race and Ethnicity in Medical and Science Journals. In the "Bankart repair" cohort of papers, each article lacked the mention of race among their patient population. The "total shoulder arthroplasty" manuscripts also did not include treatment of race and ethnicity in any way. Race and ethnicity and other social determinants of health can be used to understand the source of healthcare disparities. Unless a thoughtful and deliberate consideration of race and ethnicity is undertaken, their inclusion in clinical research can be a double-edged sword due to the potential race and ethnicity-centered treatment involvement can be rooted in fallacies. In shoulder surgery clinical research, race and ethnicity should be considered in concert with social factors that could exacerbate poor patient outcomes in our patient population. Level V. [ABSTRACT FROM AUTHOR]

During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta‐research to help understand science communication in crises and improve its effectiveness. The objective is to study how many Spanish scientific papers on COVID‐19 published during 2020 share their research data. Qualitative and descriptive study applying nine attributes: (a) availability, (b) accessibility, (c) format, (d) licensing, (e) linkage, (f) funding, (g) editorial policy, (h) content, and (i) statistics. We analyzed 1,340 papers, 1,173 (87.5%) did not have research data. A total of 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data, and 5.2% share their data as supplementary material. There is a small percentage that shares their research data; however, it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data. [ABSTRACT FROM AUTHOR]

One of the most widely used measures of scientific impact is the number of citations. However, due to its heavy-tailed distribution, citations are fundamentally difficult to predict but can be improved. This study was aimed at investigating the factors and parts influencing the citation number of a scientific paper in the otology field. Therefore, this work proposes a new solution that utilizes machine learning and natural language processing to process English text and provides a paper citation as the predicted results. Different algorithms are implemented in this solution, such as linear regression, boosted decision tree, decision forest, and neural networks. The application of neural network regression revealed that papers' abstracts have more influence on the citation numbers of otological articles. This new solution has been developed in visual programming using Microsoft Azure machine learning at the back end and Programming Without Coding Technology at the front end. We recommend using machine learning models to improve the abstracts of research articles to get more citations. [ABSTRACT FROM AUTHOR]

Despite the recent growth of attention to English for research publication purposes, little is known about how researchers view the role of peer review in their success of publication. In light of this gap, the present study investigated Iranian surgeons' attitudes towards peer review and the challenges they face in getting their papers published. To this end, 26 Iranian surgeons were interviewed, and the transcribed data were analyzed through thematic analysis. The results revealed that firstly the surgeons attested to the positive and negative contributions of peer review in terms of changing or unchanging their attitudes, respectively. Secondly, the authors faced a myriad of challenges related to editors, reviewers, and socio-political-linguistic factors in getting their papers published. Moreover, they associated these challenges with positive and negative effects in being connected to their career-stage development and motivating them to conduct and submit more papers. The study concludes with implications for research and practice in how researchers can craft more quality papers to enhance their chance of publication in high-quality journals.

Nasal endoscopy is not only used for the diagnosis of chronic rhinosinusitis with nasal polyps (CRSwNP), but also for monitoring the response to therapy playing an important role in both daily practice and research. In contrast to patient‐reported outcomes, endoscopic nasal polyp scoring by independent blinded readers is an objective measurement, not influenced by the placebo effect. It is safer and cheaper compared with computed tomography imaging and therefore, better suited for regular assessments of the extent of the disease. Since the early 90s, a variety of endoscopic staging methods have been proposed and used in clinical research, making it hard to compare results from different studies. This paper resulted from a task force with experts in the field of CRSwNP, originated by the Ear, Nose and Throat section of the European Academy of Allergy and Clinical Immunology and aims to provide a unified endoscopic NP scoring system that can serve as a reference standard for researchers, but also as a useful tool for practitioners involved in the management of CRSwNP. [ABSTRACT FROM AUTHOR]

An editorial is presented which discusses the Academy of Nutrition Sciences' second Position Paper on the regulation of nutrition and health claims around the world, with a specific focus on Europe. It discusses the regulations for the European Union and Great Britain and emphasizes the learning's gained through the implementation of the European Food Safety Authority's evidence-based process for assessment of proposed claims.

Background: Every year the scientific sessions of Annual National Conference of Indian Psychiatric Society (ANCIPS) are marked by presentation of free papers, posters, and award paper sessions, which are usually meant for presentation of new research which is not yet published. Hence, it is expected that these papers will be published in near future so that the scientific literature is distributed and shared with wider audience. Aim: This paper aims to evaluate the abstract to publication rate of papers presented during ANCIPS in the years 2012–2014. Materials and Methods: For this study, all the free papers, posters, and award papers presented during the ANCIPS of 2012–2014 were listed, and electronic searches were carried out to search for published articles. In addition, one of the authors of papers not found in the electronic searches were contacted through E-mail. Results: A total of 1081 papers were presented during the ANCIPS in the 3 year period under study. Of these, 64 were award papers, 622 were free papers, and 395 were posters. Majority (n = 807; 74.6%) of these could be categorized as research data-based presentations; this was followed by case reports/series (203; 18.8%), review of literature (n = 35; 3.3%), and others (n = 36; 3.3%). Overall, only 27% of the papers were published after at least 5 years of the presentation. Of all the award papers, 69.6% of papers were published, whereas only 26.8% of free oral papers and 22.5% of free posters were published. About half (45.6%) of the papers were published in national journals. In terms of indexing, among those which were published, 62.8% were published in Medline-indexed (PubMed-listed) Journals with a mean impact factor of 1. Conclusion: The present study shows that only 27% of the abstracts presented during the ANCIPS are ultimately published as full text articles in the next 5 years. [ABSTRACT FROM AUTHOR]

In this White Paper, we outline recommendations from the perspective of health psychology and behavioural science, addressing three research gaps: (1) What methods in the health psychology research toolkit can be best used for developing and evaluating digital health tools? (2) What are the most feasible strategies to reuse digital health tools across populations and settings? (3) What are the main advantages and challenges of sharing (openly publishing) data, code, intervention content and design features of digital health tools? We provide actionable suggestions for researchers joining the continuously growing Open Digital Health movement, poised to revolutionise health psychology research and practice in the coming years. This White Paper is positioned in the current context of the COVID-19 pandemic, exploring how digital health tools have rapidly gained popularity in 2020–2022, when world-wide health promotion and treatment efforts rapidly shifted from face-to-face to remote delivery. This statement is written by the Directors of the not-for-profit Open Digital Health initiative (n = 6), Experts attending the European Health Psychology Society Synergy Expert Meeting (n = 17), and the initiative consultant, following a two-day meeting (19–20th August 2021). [ABSTRACT FROM AUTHOR]

The article focuses on the importance of quantifying the impact and quality of research articles, discussing traditional metrics such as the Journal Impact Factor (JIF), CiteScore, and the H-index. It also introduces alternative metrics (Altmetrics) like the Altmetric Attention Score (AAS), emphasizing their role in measuring the reach and success of research articles through social media engagement.

Institutional discovery environments now serve as central resource databases for researchers in the academic environment. Over the last several decades, there have been numerous discovery layer research inquiries centering primarily on user satisfaction measures of discovery system effectiveness. This study focuses on the creation of a largely automated method for evaluating discovery layer quality, utilizing the bibliographic sources from student research projects. Building on past research, the current study replaces a semiautomated Excel Fuzzy Lookup Add-In process with a fully scripted R-based approach, which employs the stringdist R package and applies the Jaro-Winkler distance metric as the matching evaluator. The researchers consider the error rate incurred by relying solely on an automated matching metric. They also use Open Refine for normalization processes and package the tools together on an OSF site for other institutions to use. Since the R-based approach does not require special processing or time and can be reproduced with minimal effort, it will allow future studies and users of our method to capture larger sample sizes, boosting validity. While the assessment process has been streamlined and shows promise, there remain issues in establishing solid connections between research paper bibliographies and discovery layer use. Subsequent research will focus on creating alternatives to paper titles as search proxies that better resemble genuine information-seeking behavior and comparing undergraduate and graduate student interactions within discovery environments. [ABSTRACT FROM AUTHOR]

Context.--Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a necessary first step for a wide array of digital tools to enter the field. Its basic function is to digitize glass slides, but its impact on pathology workflows, reproducibility, dissemination of educational material, expansion of service to underprivileged areas, and intrainstitutional and interinstitutional collaboration exemplifies a significant innovative movement with far-reaching effects. Although the benefits of WSI to pathology practices, academic centers, and research institutions are many, the complexities of implementation remain an obstacle to widespread adoption. In the wake of the first regulatory clearance of WSI for primary diagnosis in the United States, some barriers to adoption have fallen. Nevertheless, implementation of WSI remains a difficult prospect for many institutions, especially those with stakeholders unfamiliar with the technologies necessary to implement a system or who cannot effectively communicate to executive leadership and sponsors the benefits of a technology that may lack clear and immediate reimbursement opportunity. Objectives.--To present an overview of WSI technology--present and future--and to demonstrate several immediate applications of WSI that support pathology practice, medical education, research, and collaboration. Data Sources.--Peer-reviewed literature was reviewed by pathologists, scientists, and technologists who have practical knowledge of and experience with WSI. Conclusions.--Implementation of WSI is a multifaceted and inherently multidisciplinary endeavor requiring contributions from pathologists, technologists, and executive leadership. Improved understanding of the current challenges to implementation, as well as the benefits and successes of the technology, can help prospective users identify the best path for success. doi: 10.5858/arpa.2018-0343-RA, Pathology as a practice vitally relies on the accurate interpretation of microscopic images in order to correctly diagnose patients and guide therapeutic decision making. With the advent of whole slide [...]

A recent paper proposed an alternative weighting scheme when performing matching-adjusted indirect comparisons. This alternative approach follows the conventional one in matching the covariate means across two studies but differs in that it maximizes the effective sample size when doing so. The appendix of this paper showed, assuming there is one covariate and negative weights are permitted, that the resulting weights are linear in the covariates. This explains how the alternative method achieves a larger effective sample size and results in a metric that quantifies the difficulty of matching on particular covariates. We explain how these key results generalize to the case where there are multiple covariates, giving rise to a new metric that can be used to quantify the impact of matching on multiple covariates.

The amount of grey literature and 'softer' intelligence from social media or websites is vast. Given the long lead-times of producing high-quality peer-reviewed health information, this is causing a demand for new ways to provide prompt input for secondary research. To our knowledge, this is the first review of automated data extraction methods or tools for health-related grey literature and soft data, with a focus on (semi)automating horizon scans, health technology assessments (HTA), evidence maps, or other literature reviews. We searched six databases to cover both health- and computer-science literature. After deduplication, 10% of the search results were screened by two reviewers, the remainder was single-screened up to an estimated 95% sensitivity; screening was stopped early after screening an additional 1000 results with no new includes. All full texts were retrieved, screened, and extracted by a single reviewer and 10% were checked in duplicate. We included 84 papers covering automation for health-related social media, internet fora, news, patents, government agencies and charities, or trial registers. From each paper, we extracted data about important functionalities for users of the tool or method; information about the level of support and reliability; and about practical challenges and research gaps. Poor availability of code, data, and usable tools leads to low transparency regarding performance and duplication of work. Financial implications, scalability, integration into downstream workflows, and meaningful evaluations should be carefully planned before starting to develop a tool, given the vast amounts of data and opportunities those tools offer to expedite research.

Lack of access to STEMM mentors has been identified as a critical barrier to biomedical research careers, leading to a lack of diversity in this field. To address such a barrier, the National Institutes of Health invested funds to support institutions in developing research immersion programs to provide "underrepresented" students with mentored research experiences. While providing access and opportunity for research experiences is an important equity endeavor, a focus solely on broadening participation neglects the role of institutions in perpetuating hegemonic views of science. Institutions often fail to recognize how entanglements of affect and emotion shape youth experiences in these programs and work to (de)legitimize their sense of belonging in science and perpetuate the notion of science as for an exclusive few. In this paper, we describe findings from a project aimed at understanding the entanglement of emotion and affect in a research immersion program and how these entanglements shaped participants' sense of belongingness in the program and research more broadly. Drawing on a poststructural feminist framework, we come to understand how individual histories and emotional experiences with racial and gender stereotypes work at the meta-affective level to contract feelings of belongingness in science for students.

The controversy over vaccines, which has recently intensified following the COVID-19 pandemic, provokes heated debates, with both advocates and opponents raising allegations of bias and fraud in research. Researchers whose work raises doubts about the safety of certain vaccines claim to be victims of discriminatory treatment aimed at suppressing dissent, including the unjustified retraction of their published research. Such practices have previously been discussed in other controversial fields in science (e.g., AIDS, the environment, and water fluoridation) but not in the field of vaccines. The purpose of this study was to analyze, for the first time, the subjective views of researchers whose papers were retracted. Study participants are active researchers, most with international reputations in their respective fields. They perceived retraction as a means of censoring and silencing critical voices with the aim of preserving the pro-vaccination agenda of interested parties. Participants also reported additional measures aimed at harming them personally and professionally. These findings point to the need for a fair, open, and honest discourse about the safety of vaccines for the benefit of public health and the restoration of trust in science and medicine. [ABSTRACT FROM AUTHOR]

Aim: A critical discussion comparing Newtonian science and complexity science as the philosophical basis for suicide research and its impact on suicide knowledge development and clinical practice. Design: Discussion paper. Data Sources: A review of literature on suicide research and complexity science ranging from 2000 to 2022. Implications for Nursing: Suicide research based on a Newtonian worldview can have negative consequences for suicide knowledge development and can permeate nursing practice in ways that take away from addressing the complex needs of patients, their families and healthcare teams. Conclusion: A Newtonian worldview as a philosophical basis for research is insufficient for the study of a phenomenon as complex as suicide. A complexity science approach is better suited to the study of suicide given the multiple, interrelated, emerging factors that can contribute to a person's decision to end their own life. Impact Suggestions are provided as to how a complexity science approach to the research of suicide can inform useful knowledge development that better meets the needs of individuals facing suicidality and their families. Researchers, healthcare administrators and nurses providing care to those struggling with suicidality can benefit from adopting a complexity science worldview in addressing this multifaceted phenomenon. [ABSTRACT FROM AUTHOR]

Scientific papers are essential manifestations of evolving scientific knowledge, and arguments are an important avenue to communicate research results. This study aims to understand how the argumentation process is represented in scientific papers, which is important for knowledge representation, discovery, and retrieval. First, based on fundamental argument theory and scientific discourse ontologies, a coding schema, including 17 categories was constructed. Thereafter, annotation experiments were conducted with 40 scientific articles randomly selected from two different research areas (library and information science and biomedical sciences). Statistical analysis and the sequential pattern mining method were then employed; the ratio of different argumentation units and evidence types were calculated, the argumentation semantics of figures and tables analyzed, and the argumentation structures extracted. A correlation analysis between argumentation and rhetorical structures was also performed to further reveal how argumentation was represented within scientific discourses. The results indicated a difference in the proportion of the argumentation units in the two types of scientific papers, as well as a similar linear construction with differences in the specific argument structures of each knowledge domain and a clear correlation between argumentation and rhetorical structure. [ABSTRACT FROM AUTHOR]

Purpose: The knowledge regarding meniscus has vastly evolved over the past few decades. The meniscus's intact, injured, and repaired status can affect other joint structures, i.e., ligaments, articular surfaces, and overall biomechanics of the knee joint. Due to available evidence's extensiveness, it is challenging to determine the most influential topics and the emerging trends in concurrent meniscus research. This study aims to identify the top fifty cited papers in meniscus research and concurrent knee issues and analyse their characteristics. Methods: A comprehensive search was conducted on the Thompson Reuters Web of Science database to prepare a list of top fifty cited articles that included original articles and review articles concerning meniscus. The included articles were analysed for the source journal, investigating institution, country of the corresponding author, year of publication, total citations, annual citation rate, and a qualitative review. Results: The search strategy resulted in 6768 original articles and 453 review articles. The top fifty cited articles were published from 1969 to 2014 and belonged to 14 journal sources. There were 43 original articles and seven review articles. The average citations per article were 417.4 and the average citations per paper per year were 22.6. Besides the meniscus, a general interest in the clinical assessment scores, anterior cruciate ligament, long-term osteoarthritis, and cartilage was observed. Conclusion: Most of the research concerning meniscus relates to the importance of meniscus preservation, the link between meniscus injuries and concomitant anterior cruciate ligament and chondral injuries, and its role in long-term gonarthrosis. The western countries have contributed the maximum to the top-cited evidence concerning meniscus. The meniscus repair and transplantation techniques have recently gained importance and need further research to qualify for the top-cited evidence. [ABSTRACT FROM AUTHOR]

Byline: Miguel. Ramos, Frederico. Criscuoli de Farias, Manoel. Teixeira, Eberval. Figueiredo Background: Bibliometric analyses allow detecting citation trends within a field, including assessments of the most cited journals, countries, institutions, [...]

The overall purpose of this paper is to demonstrate how data preprocessing, training size variation, and subsampling can dynamically change the performance metrics of imbalanced text classification. The methodology encompasses using two different supervised learning classification approaches of feature engineering and data preprocessing with the use of five machine learning classifiers, five imbalanced sampling techniques, specified intervals of training and subsampling sizes, statistical analysis using R and tidyverse on a dataset of 1000 portable document format files divided into five labels from the World Health Organization Coronavirus Research Downloadable Articles of COVID-19 papers and PubMed Central databases of non-COVID-19 papers for binary classification that affects the performance metrics of precision, recall, receiver operating characteristic area under the curve, and accuracy. One approach that involves labeling rows of sentences based on regular expressions significantly improved the performance of imbalanced sampling techniques verified by performing statistical analysis using a t-test documenting performance metrics of iterations versus another approach that automatically labels the sentences based on how the documents are organized into positive and negative classes. The study demonstrates the effectiveness of ML classifiers and sampling techniques in text classification datasets, with different performance levels and class imbalance issues observed in manual and automatic methods of data processing. [ABSTRACT FROM AUTHOR]

Background: Many physicians in Turkey are both clinicians and researchers, and publishing their research contributes to better patient care as well as to career advancement. Objective: To identify the barriers faced by Turkish physicians to writing research papers and getting them published. Methods: Respondents were asked, through eight multiple-choice questions, about the difficulties they faced in writing research papers and in getting them published in journals. We also searched published literature for accounts of similar difficulties and answers to the question 'What is your purpose in writing scientific publications?' Results: A total of 18% (155 of 871) of physicians completed the questionnaire. About the difficulties faced in writing, 82 out of the 155 participants, or 57%, reported problems in finding financial support; 58 (40%), in obtaining required permissions and clearances; 65 (45%), in acquiring relevant skills, especially those related to data analysis or statistics; and 42 (29%), in languagerelated skills. About the difficulties in getting their papers published in journals, 85 (60%) said that they tried to overcome the difficulties by searching for appropriate solutions on the internet; 66 (47%) sought help from experienced colleagues; and 47 (33%) needed professional help in English translation and editing. Need for financial support was reported by a significantly (p = 0.04) larger proportion of associate professors or full professors (69%) than that of residents (47%) and fellows (45%). Conclusion: The main problems that Turkish physicians face in preparing scientific manuscripts were lack of financial support, inadequate knowledge of data analysis and statistics, and the paperwork involved in obtaining required approvals and permissions--problems that were common to the departments of internal medicine and of surgery. The primary motivation for writing and publishing was career advancement, especially through promotion to a higher academic rank. [ABSTRACT FROM AUTHOR]

Background and Purpose: Multiple sclerosis (MS) is an unpredictable disease characterised by a highly variable disease onset and clinical course. Three main clinical phenotypes have been described. However, distinguishing between the two progressive forms of MS can be challenging for clinicians. This article examines how the diagnostic definitions of progressive MS impact clinical research, the design of clinical trials and, ultimately, treatment decisions. Methods: We carried out an extensive review of the literature highlighting differences in the definition of progressive forms of MS, and the importance of assessing the extent of the ongoing inflammatory component in MS when making treatment decisions. Results: Inconsistent results in phase III clinical studies of treatments for progressive MS, may be attributable to differences in patient characteristics (e.g., age, clinical and radiological activity at baseline) and endpoint definitions. In both primary and secondary progressive MS, patients who are younger and have more active disease will derive the greatest benefit from the available treatments. Conclusions: We recommend making treatment decisions based on the individual patient's pattern of disease progression, as well as functional, clinical and imaging parameters, rather than on their clinical phenotype. Because the definition of progressive MS differs across clinical studies, careful selection of eligibility criteria and study endpoints is needed for future studies in patients with progressive MS. [ABSTRACT FROM AUTHOR]

Aims: The purpose of this study is the analysis of bibliometric studies of the medical most-cited papers. Materials and Methods: This applied and the scientometric study was conducted using retrospective bibliometric analysis methods. AScopus search was conducted and 883 articles were retrieved. After reviewing the titles and abstracts, 432 articles related to the purpose of this research were identified. Items such as year, journal, country, and institution were considered. Medical subject heading and NLM were applied for the subject categorization of articles. Given the dynamics of subject areas over time, only the content of 117 articles published in 2020 and 2021 were analyzed. These 117 articles have been reviewed with 11,700 most-cited articles. By reviewing 117 articles, the most productive journal, country, and institute in producing 11,700 articles were identified. Results: The findings have shown a significant number of these publications review 100 most-cited articles in the field of medicine. Articles pertaining to the Nervous System, Musculoskeletal System, Dentistry, Radiology, and Cardiovascular System are the most numerous among the publications. Conclusion: The results of this study allow readers to know the most productive countries, institutions, and journals of various subject areas, as well as the most influential fields and research trends in that subject area. The results of this study also identify subject areas for which the characteristics of their core articles have not yet been explored to plan future research. [ABSTRACT FROM AUTHOR]

R.A. Fisher's 1922 paper On the dominance ratio has a strong claim to be the foundation paper for modern population genetics. It greatly influenced subsequent work by Haldane and Wright, and contributed 3 major innovations to the study of evolution at the genetic level. First, the introduction of a general model of selection at a single locus, which showed how variability could be maintained by heterozygote advantage. Second, the use of the branching process approach to show that a beneficial mutation has a substantial chance of loss from the population, even when the population size is extremely large. Third, the invention of the concept of a probability distribution of allele frequency, caused by random sampling of allele frequencies due to finite population size, and the first use of a diffusion equation to investigate the properties of such a distribution. Although Fisher was motivated by an inference that later turned out to lack strong empirical support (a substantial contribution of dominance to quantitative trait variability), and his use of a diffusion equation was marred by a technical mistake, the paper introduced concepts and methods that pervade much subsequent work in population genetics. [ABSTRACT FROM AUTHOR]

Egypt currently holds the record for the most retractions in the continent of Africa according to the Retraction Watch database, and the 2nd highest of countries in the Middle East. The purpose of this study was to analyse the retracted medical publications from Egyptian affiliations, in order to delineate specific problems and solutions. We examined databases including Pubmed, Google Scholar and others, for all retracted medical publications that were conducted in an Egyptian institution, up to the date of August 31st 2022. We observed for the reason(s) for retraction, number of citations of the retracted work, the length of time between publication and retraction, and where the work was published (journal, publisher and impact factor). 68 retractions were identified. Most retractions were from the speciality of Obstetrics and Gynecology (n = 22), followed by Anesthesia (n = 7). The top 3 reasons for retraction were unreliable results, FFP level misconduct, and duplicate publication. The number of retractions significantly increased over the years, especially in 2022. When taking into account the number of medical publications per institution, the institute with the highest rate of retractions was Mansoura University, while the lowest rate was Cairo University. The number of retracted medical Egyptian publications continues to increase over time, although they represent a small portion of the overall body of Egyptian medical research. Future studies on retracted articles should employ a methodology that considers the institutions where the studies were conducted. This could allow a better understanding of specific problems in certain countries or regions. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has the potential to positively impact library and archives collections and services--enhancing reference, instruction, metadata creation, recommendations, and more. However, AI also has ethical implications. This paper presents an extensive literature and review analysis that examines AI projects implemented in library and archives settings, asking the following research questions: RQ1: How is artificial intelligence being used in libraries and archives practice? RQ2: What ethical concerns are being identified and addressed during AI implementation in libraries and archives? The results of this literature review show that AI implementation is growing in libraries and archives and that practitioners are using AI for increasingly varied purposes. We found that AI implementation was most common in large, academic libraries. Materials used in AI projects usually involved digitized and born digital text and images, though materials also ranged to include web archives, electronic theses and dissertations (ETDs), and maps. AI was most often used for metadata extraction and reference and research services. Just over half of the papers included in the literature review mentioned ethics or values related issues in their discussions of AI implementation in libraries and archives, and only one-third of all resources discussed ethical issues beyond technical issues of accuracy and human-in-the-loop. Case studies relating to AI in libraries and archives are on the rise, and we expect subsequent discussions of relevant ethics and values to follow suit, particularly growing in the areas of cost considerations, transparency, reliability, policy and guidelines, bias, social justice, user communities, privacy, consent, accessibility, and access. As AI comes into more common usage, it will benefit the library and archives professions to not only consider ethics when implementing local projects, but to publicly discuss these ethical considerations in shared documentation and publications. [ABSTRACT FROM AUTHOR]

This is the first question one should consider before submitting a paper to an international journal. The answer is simple: If researchers or practitioners from another country can learn something from your paper that can influence a practice or a research they are involved in, then your paper is relevant for an international audience. There are many elements that can influence in this cross-border transferability. One could think that having a big "n", or performing complex statistical calculations, or using complicated study designs makes the paper more attractive to colleagues from other countries. These elements can help, but they are not sufficient. On the other hand, one could think that a study performed in a small hospital in a given country will never be of interest for these foreign colleagues. That is not necessarily correct. Let's burst some myths. [ABSTRACT FROM AUTHOR]

When writing a research paper, the author has to select information to include in the paper to support various arguments. The information has to be organized and synthesized into a coherent whole through relationships and information structures. There is hardly any research on the information structure of research papers, and how information structure supports rhetorical and argument structures. Thus, this study is focused on information organization in the Abstract and Introduction sections of sociology research papers, analyzing the information structure of research objective, question, hypothesis, and result statements. The study is limited to research papers reporting research that investigated cause–effect relations between two concepts. Two semantic frames were developed to specify the types of information associated with cause–effect and comparison relations, and used as coding schemes to annotate the text for different information types. Six link patterns between the two frames were identified—showing how comparisons are used to support the claim that the cause‐effect relation is valid. This study demonstrated how semantic frames can be incorporated in discourse analysis to identify deep structures underlying the argument structure. The results carry implications for the knowledge representation of academic research in knowledge graphs, for semantic relation extraction, and teaching of academic writing. [ABSTRACT FROM AUTHOR]