Ramezani-Pakpour-Langeroudi Fatemeh, Okhovati Maryam, Talebian Ali
Medical Biotechnology Research Center, School of Nursing, Midwifery and paramedicine, Guilan, University of Medical Sciences, Rasht, Iran.
Department of Medical Library and Information, School of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
J Educ Health Promot. 2018 Feb 9;7:18. doi: 10.4103/jehp.jehp_69_17. eCollection 2018.
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.
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.
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 2 and 3 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.
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.
社交网站的出现促进了科学研究的传播。本文旨在调查伊朗高被引临床医生在社交网站上的情况。
这是一项科学计量学研究。在2015年11月至12月期间，通过基本科学指标（ESI）搜索伊朗临床医学领域的高被引论文。然后，对论文作者进行核对，获得作者名单。在第二阶段，在选定的社交网站（ResearchGate [RG]、Academia、Mendeley、领英）上搜索作者姓名。还收集了Scopus中的总被引次数和h指数。
检索到55篇高被引论文。共有107位作者参与撰写这些论文。RG是最受欢迎的（64.5%），领英和Academia分别位列第二和第三。高被引论文的作者中无人订阅Mendeley。社交网站上的知名度与被引率和h指数率之间存在正相关的直接关系。RG评分、RG中的被引次数、阅读量指标与被引次数之间存在显著关系，Academia中的文献数量指标与被引次数之间也存在显著关系。
似乎将论文发布在社交网站上会影响被引率。我们建议所有科学家都参与社交网站，以获得更好的知名度和被引机会。
