Search

As humanity reaches the 5.0 industrial revolution, education plays a critical role in boosting the quality of human resources. This paper reports bibliometric research on emerging TiP during 1993-2022 in the educational field to analyse its development on any level of education during the last three decades. This study employed a Scopus database. The findings are that the trend of TiP publication in educational fields has tended to increase every year during the past three decades and conference paper became the most published document type, the USA is the country which produces the most publications; "Students" being the most occurrences keyword and total link strength. The publication of the TiP is ranked to the Quartile 1, which implies that a publication with the cited performance is a publication with credibility because the publisher has a good reputation. Researchers can find the topics most relevant to other metadata sources such as Web of Science, Publish, and Perish.

The higher education efficiency evaluation model using the data envelopment analysis method has interested many researchers. This paper uses bibliometric analysis on publications extracted from the Scopus database to provide a comprehensive overview of research publications on the measurement of higher education efficiency based on data envelopment analysis: its growth rate, major collaboration networks, the most important and popular research topic. A total of 169 related publications were collected and analyzed from 1988 to 2021. The analysis results show that: Publications published every year have increased sharply in the last six years; The quality of publications is relatively high as publications tend to be published in journals with high-ranking indexes; Countries with the most influence in studies on this topic are: Italy, China, Spain, the USA, and the United Kingdom; Authors with the most influence in this research direction are Agasisti T., Abbott M., Doucouliagos C., Avkiran N.K., and Johnes J.; The research cooperation among countries and among affiliations is not strong. Finally, the paper has provided recommendations for future studies based on the findings.

Purpose In this study, we conducted quantitative analysis of 1706 scholarly literature published in Journal of Documentation during the period of 1970 to 2019 (fifty years) using a series of scientometric indicators. Annual scientific production, most local cited sources, the ranking of authors; profiles, contributions, correlation, collaboration and authorship pattern, most contributed countries, most cited articles, frequently used search terms/keywords, and the legend of historiographic mapping were analysed in detail to measure the impact of the source. Design/methodology/approach We used the Scopus database for retrieving the desired sample data. In total, 1,706 numbers of publications records were considered for the literature analysis considering their relevancy. Biblioshiny data visualization tool is used to create the various maps. Findings The present study found that annual scientific production and average citations constantly have had an uptrend. The journal's had tremendous impact with an h-index of 80, with a g-index of 148, total citations of 37,161 within the studied period. Although Bawden D contributed the highest number of research papers (n=78), the work published by Hjørland B received the highest citations. Lotka's Law reveals that about 75.04% of the authors (1319 authors) have one publication, and approximately 12.73% of the authors (225 authors) have two publications. The United Kingdom was the dominant country in terms of number of papers and citation count whereas University of Sheffield topped with 128 publications. The thematic map consists of eleven clusters and 'information retrieval' found to be the largest cluster comprehending 56 subthemes occurring 995 times. Co-citation network identified four clusters with revealing Wilson TD as the most cited authors. The study also indicates the most collaborative authors are from the United Kingdom. Research limitations/implications The study exclusively deals with 1732 published research literature indexed in the Scopus database covering a span of fifty years (from 1970 to 2019). Thus, documents which are not covered in Scopus are excluded from the purview of research. This study is significant in order to measure the impact of Journal of Documentation and useful to identify valuable research patterns from publications and of developments in the field of Information Science. [ABSTRACT FROM AUTHOR]

Much of the knowledge and information needed for enabling high-quality clinical research is stored in free-text format. Natural language processing (NLP) has been used to extract information from these sources at scale for several decades. This paper aims to present a comprehensive review of clinical NLP for the past 15 years in the UK to identify the community, depict its evolution, analyse methodologies and applications, and identify the main barriers. We collect a dataset of clinical NLP projects (n = 94; £ = 41.97 m) funded by UK funders or the European Union's funding programmes. Additionally, we extract details on 9 funders, 137 organisations, 139 persons and 431 research papers. Networks are created from timestamped data interlinking all entities, and network analysis is subsequently applied to generate insights. 431 publications are identified as part of a literature review, of which 107 are eligible for final analysis. Results show, not surprisingly, clinical NLP in the UK has increased substantially in the last 15 years: the total budget in the period of 2019–2022 was 80 times that of 2007–2010. However, the effort is required to deepen areas such as disease (sub-)phenotyping and broaden application domains. There is also a need to improve links between academia and industry and enable deployments in real-world settings for the realisation of clinical NLP's great potential in care delivery. The major barriers include research and development access to hospital data, lack of capable computational resources in the right places, the scarcity of labelled data and barriers to sharing of pretrained models. [ABSTRACT FROM AUTHOR]

Quality assurance (QA) is an important process in ensuring that systematic reviews and other evidence syntheses are supported by a high‐quality search. This paper describes how the National Institute for Health and Care Excellence (NICE) in the UK established a development pathway to ensure its information specialists had the skills, knowledge and confidence to undertake search QA. The key component of the pathway is that it blends technical knowledge with interpersonal skills. The pathway develops technical skills in the early steps before using peer support activities to build confidence while undertaking a range of searches. QA is effective when the search lead communicates the contextual information that has influenced search development. QA is treated as a collaboration to get the right search for the review. The key requirements for search QA, alongside technical knowledge, are communication, collaboration and negotiation skills. [ABSTRACT FROM AUTHOR]

To demonstrate changes in the demography and diagnosis of uveitis in a specialist clinic in the United Kingdom. Retrieval of data including all new referrals to Manchester Uveitis Clinic from 1991 to 2020. The incidence and proportions of diagnoses between 4 quartiles was compared. 5000 patients with uveitis were seen. Referral rates trebled over time. Highly significant increases in referrals were seen for multiple evanescent white dot syndrome-spectrum disorders, syphilis and tuberculosis; increases were also seen for herpetic retinitis, vitreoretinal lymphoma and sarcoidosis. Highly significant decreases were seen for Fuchs' uveitis, Behçet's uveitis and ocular toxoplasmosis. Subspecialisation and de-skilling has changed referral patterns to specialist clinics; changes cannot be entirely attributed to disease incidences, which also vary between countries. International data are non-comparable. There are clear changes in referral patterns and disease incidence in this population, influenced by evolving diagnosis. Local data should steer care planning. [ABSTRACT FROM AUTHOR]