Evaluating Obesity Publications: From Bibliometrics to Altmetrics Publisher



Aletaha A^{1, 2} ; Soltani A³ ; Dokhani F⁴ Show Affiliations
Source: Journal of Diabetes and Metabolic Disorders Published:2021

Abstract

Purpose: study the bibliometrics indicators of Iranian authors in the field of obesity and Correlation Comparison between conventional citation counts and altmetrics scores from 2005 to 2019. Methods: The study uses bibliometric characteristics and altmetric analysis. Population consists of 5359 articles out of 8220 in the field of obesity which have specified Iran as the affiliated country and indexed by Scopus between 2005 to 2019. Citations was extracted from Scopus database and visualized bibliographic data by VOS viewer software version 17, as well as Altmetric Explorer was applied for altmetrics data. The spearman correlation was used to analyze distributions of altmetrics and citation. Statistical analysis was utilized using SPSS software version 17. Results: According to altmetrics finding among 2221 articles, 90% of articles had focused on different social media. The major interaction of researches has taken place in Twitter respectively News and Facebook. a positive correlation (r = 0.31) has been found between citation and altmetrics. As a result, Institutes with the highest degree of co-authorship had the top 10 articles with the highest altmetrics score. Conclusion: Depending on the degree of correlation suggest that altmetrics should be seen as complements to, rather than alternatives to citations. Altmetrics indicators will be very useful for health policymaking and aid them with identifying important factors driving altmetric events. Also it could help to reveal the hidden value of some medical papers. Our findings can help international communications for scientific collaboration at the level of business and health care industry, and emergency managers gain a comprehensive understanding of the research area. © 2021, Springer Nature Switzerland AG.