A comparative study of scientific collaborations in medical informatics, health information management, medical librarianship, and information sciences among Iranian research communities: A bibliometric study.

Background and Aim: Scientific collaborations play a vital role in advancing research in various disciplines, including medical informatics, health information management, medical librarianship, and information sciences. This study aims to provide an overview of Iranian researchers' scientific output in three disciplines and their collaboration networks. Methods: The study utilized data from Scopus database and analyzed 2086 records of Iranian researchers' research outcomes over 10 years. Each article's citations were averaged to determine its impact factor. The study also reviewed the number of articles and citations in the past decade. Results: The findings show that scientific output in the disciplines of medical informatics, health information management, medical librarianship, and information sciences has significantly increased among Iranian researchers in the past decade. The analysis of collaboration networks indicates a strong connection between these disciplines, with medical informatics having the highest degree of collaboration. Conclusion: This study provides valuable insights into the scientific collaborations among Iranian researchers in medical informatics, health information management, medical librarianship, and information sciences. The findings can be used to inform future research and collaboration initiatives in these disciplines. The results suggest that Iranian researchers in these disciplines have made significant progress in scientific output and collaboration. However, further efforts are required to improve the quality and impact of their research.

Scientometric assessment of scientific documents published in 2020 on herbal medicines used for COVID-19.

Objective: Many studies have suggested herbal medicines as alternatives or adjuvants to modern drugs for COVID-19. Their scientometric analyses can provide a scientific overview of this topic. Materials and methods: Web of Science (WOS) and Scopus were searched for articles on the use of herbal medicines in COVID-19 published until 26 October 2020. Collected data were analyzed for document type, subject area, top journal, citation number, and authors' collaboration network using VOSviewer 1.6.15, ScientoPy 2.0.3, Gephi 0.9.2, and SPSS 15 statistical tools. Results: After screening the 3185 retrieved records, 378 and 849 records, respectively from WOS and Scopus, remained for quantity analysis. Original and review articles were the two main types of papers in both databases. Top subject areas were drug and medicine, respectively in the WOS and Scopus databases. The top three productive countries in the field were China, the US, and India. The most cited article was a practice guideline in both databases. "Journal of Biomolecular Structure Dynamics" in WOS and "Chinese Traditional and Herbal Drugs" in Scopus were the top journals. Top keywords included "COVID-19″ and "Traditional Chinese Medicine". US authors had the highest collaboration with other authors. Conclusions: The current study provides a snapshot of the quantity and characteristics of published scholarly documents in recent months in the intersection of herbal medicines and COVID-19. Our findings help scientists to find the existing gaps, identify the active authors and scientific institutes to collaborate with and use their experience to produce new knowledge in the future.

Visualization of knowledge flow in interpersonal scientific collaboration network endocrinology and metabolism research institute.

PURPOSE: Research collaborations can help to increase scientific productivity. The purpose of the present study was to draw up the knowledge flow network of the Endocrinology and Metabolism Research Institute (EMRI) affiliated to Tehran University of Medical Sciences. METHODS: The present study is a descriptive cross-sectional study on the publications of the EMRI. Web of Science Core collection databases were searched for the EMRI publications between 2002 to November 2019. Besides, publications were classified and visualized based on authorships (institutes and country of affiliation), and keywords (co-occurrence and trend). Scientometric methods including VOSviewer and HistCite were used for descriptive statistics and data analysis. RESULTS: Total citations to the records were 47,528 and papers were published in 916 journals. The annual growth rate of publications and the citation was 14.2% and 18.9%, respectively. A total of 9466 authors from 136 countries collaborated in the publications. The co-authorship patterns showed that the average co-authorship and collaboration coefficient was 3.3 and 0.19. CONCLUSION: Knowledge flow between EMRI researchers with international collaborations, engagement with leading countries, and interdisciplinary collaborations have an increasing trend. To develop a full picture of co-authorship, using social network analysis indicators are suggested for future studies.

Scientometric analyzing the output of researchers and organizations on COVID-19 for better conducting the scientific efforts: with a glance to endocrinology.

Purpose: As COVID-19 spreads rapidly and could affect the people and also lead to their death, especially individuals with underlying diseases, such as diabetes, the research community is also active in publishing novel research about it. Analyzing scientific outputs in this topic can represent an overview of publications. For this purpose, this study was conducted to determine status of publishing research works related to COVID-19 and analyzing the all documents published and indexed in Web of Science database and illustrate the co-occurrence and co-authority of hot papers in this documents. Methodology: Our search strategy was based on using the related key terms including COVID-19, coronavirus, SARS2, etc., to find out all the published scientific works related to coronavirus disease indexed in web of science (WoS) in 2020. We then extracted the all hot papers and especially hot papers in endocrinology category and analyzed them. The data saved and imported in VOSviewer and ScientoPy programs for analysis and illustration of our data. We have shown our analysis in the tables, figures and maps. Results: Totally, 56,402 records and 309 hot papers were retrieved. 3 of these hot papers were in endocrinology category. The most common type of publication was original papers followed by editorial papers in the second rank. The country with the most published documents was the USA followed by China. The journals of "British Medical Journal" and "Journal of Medical Virology" were ranked as the first and second sources, respectively. The "Harvard University" was the top organization with high proportion of scientific publications and "the Lancet" was the top-ranked journal that published highly-cited papers. Conclusion: The literature on COVID-19 is increasing with a high and fast growth. In this regard, there is a need to evaluate these publications once in a while and their results should be published to use this information for more effective management of future research works with emphasizes on the gaps of researches and more citable documents and allocation of budgets on more needed research and don't carry out the duplicates research. This would be helpful for prevention, control, and treatment of COVID-19 that is now among the most common topics in the world.