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The research into bioactive natural products originating from medicinal plants, fungi and other organisms has a long history, accumulating abundant and diverse publications. However no quantitative literature analysis has been conducted so far. Here we analyze the bibliometric data of ethnopharmacology literature and relate the semantic content to the publication and citation data so that the major research themes, contributors, and journals of different time periods could be identified and evaluated. Web of Science (WoS) was searched to identify relevant publications. The Analyze function of WoS and bibliometric software (VOSviewer) were utilized to perform the analyses. Until the end of November 2018, 59,576 publications -linked to 'ethnopharmacology' indexed by WoS, published since 1958 in more than 5600 journals, and contributed by over 20,600 institutions located in more than 200 countries/regions, were identified. The papers were published under four dominating WoS categories, namely pharmacology/pharmacy (34.4%), plant sciences (28.6%), medicinal chemistry (25.3%), and integrative complementary medicine (20.6%). India (14.6%) and China (13.2%) were dominating the publication space. The United States and Brazil also had more than 8.0% contribution each. The rest of the top ten countries/regions were mainly from Asia. There were around ten-fold more original articles (84.6%) than reviews (8.4%). Ethnopharmacological research has a consistent focus on food and plant sciences, (bio)chemistry, complementary medicine and pharmacology, with a more limited scientific acceptance in the socio-cultural sciences. Dynamic global contributions have been shifting from developed countries to economically and scientifically emerging countries in Asia, South America and the Middle East. Research on recording medicinal plant species used by traditional medicine continues, but the evaluation of specific properties or treatment effects of extracts and compounds has increased enormously. Moreover increasing attention is paid to some widely distributed natural products, such as curcumin, quercetin, and rutin. Image 1 [ABSTRACT FROM AUTHOR]

Google Trends data have been used to investigate various themes on online information seeking. It was unclear if the population from different parts of the world shared the same amount of attention to different mask types during the COVID-19 pandemic. This study aimed to reveal which types of masks were frequently searched by the public in different countries, and evaluated if public attention to masks could be related to mandatory policy, stringency of the policy, and transmission rate of COVID-19. By referring to an open dataset hosted at the online database Our World in Data, the 10 countries with the highest total number of COVID-19 cases as of 9th of February 2022 were identified. For each of these countries, the weekly new cases per million population, reproduction rate (of COVID-19), stringency index, and face covering policy score were computed from the raw daily data. Google Trends were queried to extract the relative search volume (RSV) for different types of masks from each of these countries. Results found that Google searches for N95 masks were predominant in India, whereas surgical masks were predominant in Russia, FFP2 masks were predominant in Spain, and cloth masks were predominant in both France and United Kingdom. The United States, Brazil, Germany, and Turkey had two predominant types of mask. The online searching behavior for masks markedly varied across countries. For most of the surveyed countries, the online searching for masks peaked during the first wave of COVID-19 pandemic before the government implemented mandatory mask wearing. The search for masks positively correlated with the government response stringency index but not with the COVID-19 reproduction rate or the new cases per million., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Yeung, Parvanov, Horbańczuk, Kletecka-Pulker, Kimberger, Willschke and Atanasov.)

Chlorogenic acid (CA), also known as 5-O-caffeoylquinic acid, is a dietary phenolic acid produced by various plant species. CA, is the most ubiquitous compound among the phenolic acid group, is also present in tea and green coffee extracts. Its consumption reduces the risk of numerous diseases as validated by preclinical and clinical studies. CA possesses a wide range of pharmacological properties, such as hepatoprotective, antimicrobial, immunomodulatory, antioxidant, antidiabetic, and anticancer activities. It has been extensively used in the food, chemical, medicine, and health care industries. Available reports revealed that CA can exert anticancer activity by inhibiting the cell cycle, triggering apoptosis, and suppressing the proliferation of cancer cells. It upregulates the expression of nuclear factor of activated T cells 2 (NFATC2) and NFATC3 genes involved in immune pathway and downregulates B cell-specific moloney murine leukemia virus integration site 1 protein and SRY-box transcription factor 2 gene expression to facilitate tumor cell destruction. It promotes intracellular DNA impairment and topoisomerase I- and topoisomerase-II-DNA complex formation that perform a key function in apoptosis. In addition, CA has been documented to be an effective natural anticancer drug and was approved by the China Food and Drug Administration. Several previously published reports have provided fragmented summary of various anticancer activities of CA. Therefore, this review aims to deliver up-to-date and comprehensive assessment about the natural sources of CA, its bioavailability, metabolism, and anticancer property with an emphasis on the molecular mechanisms associated with several signaling pathways in tumor cells., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Objective: The aim of the study was to quantitatively analyze the scientific literature landscape covering legal regulations of patient safety., Methods: This retrospective bibliometric analysis queried Web of Science database to identify relevant publications. The identified scientific literature was quantitatively evaluated to reveal prevailing study themes, contributing journals, countries, institutions, and authors, as well as citation patterns., Results: The identified 1295 publications had a mean of 13.8 citations per publication and an h-index of 57. Approximately 78.8% of them were published since 2010, with the United States being the top contributor and having the greatest publication growth. A total of 79.2% (n = 1025) of the publications were original articles, and 12.5% (n = 162) were reviews. The top authors (by number of publications published on the topic) were based in the United States and Spain and formed 3 collaboration clusters. The top institutions by number of published articles were mainly based in the United States and United Kingdom, with Harvard University being on top. Internal medicine, surgery, and nursing were the most recurring clinical disciplines. Among 4 distinct approaches to improve patient safety, reforms of the liability system (n = 91) were most frequently covered, followed by new forms of regulation (n = 73), increasing transparency (n = 67), and financial incentives (n = 38)., Conclusions: Approximately 78.8% of the publications on patient safety and its legal implications were published since 2010, and the United States was the top contributor. Approximately 79.2% of the publications were original articles, whereas 12.5% were reviews. Healthcare sciences services was the most recurring journal category, with internal medicine, surgery, and nursing being the most recurring clinical disciplines. Key relevant laws around the globe were identified from the literature set, with some examples highlighted from the United States, Germany, Italy, France, Sweden, Poland, and Indonesia. Our findings highlight the evolving nature and the diversity of legislative regulations at international scale and underline the importance of healthcare workers to be aware of the development and latest advancement in this field and to understand that different requirements are established in different jurisdictions so as to safeguard the necessary standards of patient safety., Competing Interests: The authors disclose no conflict of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

As the COVID-19 pandemic continues to disrupt health systems worldwide, conducting Rapid Antigen Testing (RAT) at specified intervals has become an essential part of many people's lives around the world. We identified and analyzed the academic literature on COVID-19 RAT. The Web of Science electronic database was queried on 6 July 2022 to find relevant publications. Publication and citation data were retrieved directly from the database. VOSviewer, a bibliometric software, was then used to relate these data to the semantic content from the titles, abstracts, and keywords. The analysis was based on data from 1000 publications. The most productive authors were from Japan and the United States, led by Dr. Koji Nakamura from Japan ( n = 10, 1.0%). The most academically productive countries were in the North America, Europe and Asia, led by the United States of America ( n = 266, 26.6%). Sensitivity ( n = 32, 3.2%) and specificity ( n = 23, 2.3%) were among the most frequently recurring author keywords. Regarding sampling methods, "saliva" ( n = 54, 5.4%) was mentioned more frequently than "nasal swab" ( n = 32, 3.2%) and "nasopharyngeal swab" ( n = 22, 2.2%). Recurring scenarios that required RAT were identified: emergency department, healthcare worker, mass screening, airport, traveler, and workplace. Our bibliometric analysis revealed that COVID-19 RAT has been utilized in a range of studies. RAT results were cross-checked with RT-PCR tests for sensitivity and specificity. These results are consistent with comparable exchanges of methods, results or discussions among laboratorians, authors, institutions and publishers in the involved countries of the world.

Background: Artificial intelligence (AI) has the potential to reshape medical practice and the delivery of healthcare. Online discussions surrounding AI's utility in these domains are increasingly emerging, likely due to considerable interest from healthcare practitioners, medical technology developers, and other relevant stakeholders. However, many practitioners and medical students report limited understanding and familiarity with AI., Objective: To promote research, events, and resources at the intersection of AI and medicine for the online medical community, we created a Twitter-based campaign using the hashtag #MedTwitterAI., Methods: In the present study, we analyze the use of #MedTwitterAI by tracking tweets containing this hashtag posted from 26th March, 2019 to 26th March, 2021, using the Symplur Signals hashtag analytics tool. The full text of all #MedTwitterAI tweets was also extracted and subjected to a natural language processing analysis., Results: Over this time period, we identified 7,441 tweets containing #MedTwitterAI, posted by 1,519 unique Twitter users which generated 59,455,569 impressions. The most common identifiable locations for users including this hashtag in tweets were the United States (378/1,519), the United Kingdom (80/1,519), Canada (65/1,519), India (46/1,519), Spain (29/1,519), France (24/1,519), Italy (16/1,519), Australia (16/1,519), Germany (16/1,519), and Brazil (15/1,519). Tweets were frequently enhanced with links (80.2%), mentions of other accounts (93.9%), and photos (56.6%). The five most abundant single words were AI (artificial intelligence), patients, medicine, data, and learning. Sentiment analysis revealed an overall majority of positive single word sentiments (e.g., intelligence, improve) with 230 positive and 172 negative sentiments with a total of 658 and 342 mentions of all positive and negative sentiments, respectively. Most frequently mentioned negative sentiments were cancer, risk, and bias. Most common bigrams identified by Markov chain depiction were related to analytical methods (e.g., label-free detection) and medical conditions/biological processes (e.g., rare circulating tumor cells)., Conclusion: These results demonstrate the generated considerable interest of using #MedTwitterAI for promoting relevant content and engaging a broad and geographically diverse audience. The use of hashtags in Twitter-based campaigns can be an effective tool to raise awareness of interdisciplinary fields and enable knowledge-sharing on a global scale., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Nawaz, Barr, Desai, Tsagkaris, Singh, Klager, Eibensteiner, Parvanov, Hribersek, Kletecka-Pulker, Willschke and Atanasov.)

Background: Digital technology uses in cardiology have become a popular research focus in recent years. However, there has been no published bibliometric report that analyzed the corresponding academic literature in order to derive key publishing trends and characteristics of this scientific area., Objective: We used a bibliometric approach to identify and analyze the academic literature on digital technology uses in cardiology, and to unveil popular research topics, key authors, institutions, countries, and journals. We further captured the cardiovascular conditions and diagnostic tools most commonly investigated within this field., Methods: The Web of Science electronic database was queried to identify relevant papers on digital technology uses in cardiology. Publication and citation data were acquired directly from the database. Complete bibliographic data were exported to VOSviewer, a dedicated bibliometric software package, and related to the semantic content of titles, abstracts, and keywords. A term map was constructed for findings visualization., Results: The analysis was based on data from 12,529 papers. Of the top 5 most productive institutions, 4 were based in the United States. The United States was the most productive country (4224/12,529, 33.7%), followed by United Kingdom (1136/12,529, 9.1%), Germany (1067/12,529, 8.5%), China (682/12,529, 5.4%), and Italy (622/12,529, 5.0%). Cardiovascular diseases that had been frequently investigated included hypertension (152/12,529, 1.2%), atrial fibrillation (122/12,529, 1.0%), atherosclerosis (116/12,529, 0.9%), heart failure (106/12,529, 0.8%), and arterial stiffness (80/12,529, 0.6%). Recurring modalities were electrocardiography (170/12,529, 1.4%), angiography (127/12,529, 1.0%), echocardiography (127/12,529, 1.0%), digital subtraction angiography (111/12,529, 0.9%), and photoplethysmography (80/12,529, 0.6%). For a literature subset on smartphone apps and wearable devices, the Journal of Medical Internet Research (20/632, 3.2%) and other JMIR portfolio journals (51/632, 8.0%) were the major publishing venues., Conclusions: Digital technology uses in cardiology target physicians, patients, and the general public. Their functions range from assisting diagnosis, recording cardiovascular parameters, and patient education, to teaching laypersons about cardiopulmonary resuscitation. This field already has had a great impact in health care, and we anticipate continued growth., (©Andy Wai Kan Yeung, Stefan Tino Kulnik, Emil D Parvanov, Anna Fassl, Fabian Eibensteiner, Sabine Völkl-Kernstock, Maria Kletecka-Pulker, Rik Crutzen, Johanna Gutenberg, Isabel Höppchen, Josef Niebauer, Jan David Smeddinck, Harald Willschke, Atanas G Atanasov. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.05.2022.)

Background: Social media has been extensively used for the communication of health-related information and consecutively for the potential spread of medical misinformation. Conventional systematic reviews have been published on this topic to identify original articles and to summarize their methodological approaches and themes. A bibliometric study could complement their findings, for instance, by evaluating the geographical distribution of the publications and determining if they were well cited and disseminated in high-impact journals., Objective: The aim of this study was to perform a bibliometric analysis of the current literature to discover the prevalent trends and topics related to medical misinformation on social media., Methods: The Web of Science Core Collection electronic database was accessed to identify relevant papers with the following search string: ALL=(misinformati* OR "wrong informati*" OR disinformati* OR "misleading informati*" OR "fake news*") AND ALL=(medic* OR illness* OR disease* OR health* OR pharma* OR drug* OR therap*) AND ALL=("social media*" OR Facebook* OR Twitter* OR Instagram* OR YouTube* OR Weibo* OR Whatsapp* OR Reddit* OR TikTok* OR WeChat*). Full records were exported to a bibliometric software, VOSviewer, to link bibliographic information with citation data. Term and keyword maps were created to illustrate recurring terms and keywords., Results: Based on an analysis of 529 papers on medical and health-related misinformation on social media, we found that the most popularly investigated social media platforms were Twitter (n=90), YouTube (n=67), and Facebook (n=57). Articles targeting these 3 platforms had higher citations per paper (>13.7) than articles covering other social media platforms (Instagram, Weibo, WhatsApp, Reddit, and WeChat; citations per paper <8.7). Moreover, social media platform-specific papers accounted for 44.1% (233/529) of all identified publications. Investigations on these platforms had different foci. Twitter-based research explored cyberchondria and hypochondriasis, YouTube-based research explored tobacco smoking, and Facebook-based research studied vaccine hesitancy related to autism. COVID-19 was a common topic investigated across all platforms. Overall, the United States contributed to half of all identified papers, and 80% of the top 10 most productive institutions were based in this country. The identified papers were mostly published in journals of the categories public environmental and occupational health, communication, health care sciences services, medical informatics, and medicine general internal, with the top journal being the Journal of Medical Internet Research., Conclusions: There is a significant platform-specific topic preference for social media investigations on medical misinformation. With a large population of internet users from China, it may be reasonably expected that Weibo, WeChat, and TikTok (and its Chinese version Douyin) would be more investigated in future studies. Currently, these platforms present research gaps that leave their usage and information dissemination warranting further evaluation. Future studies should also include social platforms targeting non-English users to provide a wider global perspective., (©Andy Wai Kan Yeung, Anela Tosevska, Elisabeth Klager, Fabian Eibensteiner, Christos Tsagkaris, Emil D Parvanov, Faisal A Nawaz, Sabine Völkl-Kernstock, Eva Schaden, Maria Kletecka-Pulker, Harald Willschke, Atanas G Atanasov. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.01.2022.)

Background: Twitter, representing a big social media network, is broadly used for the communication of health-related information. In this work, we aimed to identify and analyze the scientific literature on Twitter use in context of health by utilizing a bibliometric approach, in order to obtain quantitative information on dominant research topics, trending themes, key publications, scientific institutions, and prolific researchers who contributed to this scientific area. Methods: Web of Science electronic database was searched to identify relevant papers on Twitter and health. Basic bibliographic data was obtained utilizing the "Analyze" function of the database. Full records and cited references were exported to VOSviewer, a dedicated bibliometric software, for further analysis. A term map and a keyword map were synthesized to visualize recurring words within titles, abstracts and keywords. Results: The analysis was based on the data from 2,582 papers. The first papers were published in 2009, and the publication count increased rapidly since 2015. Original articles and reviews were published in a ratio of 10.6:1. The Journal of Medical Internet Research was the top journal, and the United States had contributions to over half (52%) of these publications, being the home-country of eight of the top ten most productive institutions. Keyword analysis identified six topically defined clusters, with professional education in healthcare being the top theme cluster (consisting of 66 keywords). The identified papers often investigated Twitter together with other social media, such as YouTube and Facebook. Conclusions: A great diversity of themes was found in the identified papers, including: professional education in healthcare, big data and sentiment analysis, social marketing and substance use, physical and emotional well-being of young adults, and public health and health communication. Our quantitative analysis outlines Twitter as both, an increasingly popular data source, and a highly versatile tool for health-related research., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Yeung, Kletecka-Pulker, Eibensteiner, Plunger, Völkl-Kernstock, Willschke and Atanasov.)

Background: Substances present in nature have been a continuous source for the development of drugs for cardiovascular and infectious diseases, cancer, and many other diseases. As the literature concerning these natural products grows, it becomes more difficult for a reader to quickly grasp the essential facts and develop a well-informed impression of this field of research. Until now, it has also been difficult to determine which natural products and research objectives were gaining the most attention as measured by a number of citations., Objective: The current study of all published articles concerned with natural products sought to identify which natural products and which research objectives are connected with the major contributors to scientific journals based on the number of relevant publications and the number of times each publication was cited elsewhere., Methods: Bibliometric data, including citation data, were extracted from the Web of Science database using the search string TS=("natural product*)" and analyzed by the VOSviewer software., Results: The search yielded 63,194 articles, with more than half of the manuscripts published since 2012. The ratio of original articles to reviews was 5.8:1. The major contributing countries were the United States, China, Germany, Japan, and India. Articles were published mainly in journals focused on chemistry, pharmacology or biochemistry. Curcumin, resveratrol, and terpenoids were the most frequently cited natural products., Conclusion: The results of the current study provide researchers from different backgrounds and healthcare professionals with a brief overview of the major trends in natural-product research in the form of a citation-based summary of the relevant literature., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Objective: Medical errors represent a leading cause of patient morbidity and mortality. The aim of this study was to quantitatively analyze the existing scientific literature on medical errors in order to gain new insights in this important medical research area. Study Design: Web of Science database was used to identify relevant publications, and bibliometric analysis was performed to quantitatively analyze the identified articles for prevailing research themes, contributing journals, institutions, countries, authors, and citation performance. Results: In total, 12,415 publications concerning medical errors were identified and quantitatively analyzed. The overall ratio of original research articles to reviews was 8.1:1, and temporal subset analysis revealed that the share of original research articles has been increasing over time. The United States contributed to nearly half (46.4%) of the total publications, and 8 of the top 10 most productive institutions were from the United States, with the remaining 2 located in Canada and the United Kingdom. Prevailing (frequently mentioned) and highly impactful (frequently cited) themes were errors related to drugs/medications, applications related to medicinal information technology, errors related to critical/intensive care units, to children, and mental conditions associated with medical errors (burnout, depression). Conclusions: The high prevalence of medical errors revealed from the existing literature indicates the high importance of future work invested in preventive approaches. Digital health technology applications are perceived to be of great promise to counteract medical errors, and further effort should be focused to study their optimal implementation in all medical areas, with special emphasis on critical areas such as intensive care and pediatric units., (Copyright © 2020 Atanasov, Yeung, Klager, Eibensteiner, Schaden, Kletecka-Pulker and Willschke.)

The current study aimed to identify and analyze the 100 most cited papers on the topic of nutraceuticals and functional foods. Scopus database was searched to extract bibliometric data. Two-thirds of the 100 most cited papers were reviews. Papers were mostly published in food science and nutrition journals, and one-third were published in seven journals, namely: British Journal of Nutrition (6), Critical Reviews in Food Science and Nutrition (6), Journal of Food Science (5), Trends in Food Science and Technology (5), American Journal of Clinical Nutrition (4), Food Chemistry (4) and Journal of Nutrition (4). Topics with high citation counts dealt with prebiotics, probiotics, antioxidants and phenolic content. Hot topics with over 1000 citations per paper include bifidobacterium (1147), colon (1032) and lipid metabolism (1013). The United States and Europe were major places of origin. These results can serve as a quick benchmarking reference for researchers or general public members., (Copyright © 2018 Elsevier Ltd. All rights reserved.)