BACKGROUND AND AIMS:The advent of social networking sites has facilitated the dissemination of scientific research. This article aims to investigate the presence of Iranian highly cited clinicians in social networking sites.MATERIALS AND METHODS:This is a scientometrics study. Essential Science Indicator (ESI) was searched for Iranian highly cited papers in clinical medicine during November–December 2015. Then, the authors of the papers were checked and a list of authors was obtained. In the second phase, the authors’ names were searched in the selected social networking sites (ResearchGate [RG], Academia, Mendeley, LinkedIn). The total citations and h-index in Scopus were also gathered.RESULTS:Fifty-five highly cited papers were retrieved. A total of 107 authors participated in writing these papers. RG was the most popular (64.5%) and LinkedIn and Academia were in 2nd and 3rd places. None of the authors of highly cited papers were subscribed to Mendeley. A positive direct relationship was observed between visibility at social networking sites with citation and h-index rate. A significant relationship was observed between the RG score, citations, reads indicators in RG, and citation numbers and there was a significant relationship between the number of document indicator in Academia and the citation numbers.CONCLUSION:It seems putting the papers in social networking sites can influence the citation rate. We recommend all scientists to be present at social networking sites to have better chance of visibility and also citation.
Background: The Clarivate Analytics Company defined the highly cited papers used to measure scientific performance. Altmetrics is a new indicator for evaluation of academic research, which evaluates the findings of research published on social networks. Objectives: This study aimed at evaluating the Altmetrics indicators of highly cited articles on chronic diseases in the two social networks of ResearchGate and Mendeley. Methods: This descriptive-cross sectional study was carried out using the scientometric method. The research data were collected during October 2018 by using Excel 2013 software. HistCite TM and VOSviewer were used as scientometric software. Data were analyzed using SPSS version 19 through non-parametric statistical tests, such as Spearman and chi-square tests. The significance level was P < 0.05. Results: According to the findings, the coverage rate of highly cited articles on chronic diseases on ResearchGate is about 96.5%, which is better than Mendeley with 92.4%. There was a significant relationship between citation with presence in social networks of research gate and Mendeley (P < 0.05). Each paper indexed in ResearchGate has been read on average by 318.73 individuals. In comparison with that, every paper in Mendeley has been read by 185.76 people, respectively. There was a positive correlation between the number of citations in the Web of Science and "Read" rate of the papers in ResearchGate (0.207) and Mendeley (0.343) (P < 0.05). Conclusions: Altmetric indicators evaluated activities in social media space. Increasing the presence of chronic diseases papers in social networks can actively influence dissemination of knowledge.
Background and AimScientific 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.MethodsThe 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.ResultsThe 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.ConclusionThis 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.
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