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Ranking of Iranian medical universities based on altmetric indices.

Title: Ranking of Iranian medical universities based on altmetric indices.
Authors: Ramezani, Aboozar; Javad Ghazimirsaeed, Seyed; Ramezani-Pakpour-Langroudi, Fatemeh; Siamian, Hasan; Hossein YektaKooshali, Mohammad; Papi, Ahmad; Aligolbandi, Kobra
Source: Journal of Information Science; Dec2023, Vol. 49 Issue 6, p1607-1614, 8p
Subject Terms: RANK correlation (Statistics); SOCIAL networks; UNIVERSITY rankings; UNIVERSITY faculty
Abstract: This study was aimed at evaluating the Iranian medical universities' rankings and altmetric indices in ResearchGate and Academia.edu. This cross-sectional analytical study was conducted using a scientometric method. Social networking measures were collected in MS Excel from January to February 2017. Data were analysed using SPSS software and the Spearman, chi-square and Kendall rank coefficient tests. Ranking information and altmetric indices of 50 Iranian medical universities were collected and analysed. All of the type-1 medical universities have been presented in the Academia.edu and ResearchGate social networks. A statistically significant relationship (P < 0.05) has been found between the ranking systems of the universities with altmetric indicators, such as the number of members in both social networks, the number of publications and the total RG score in ResearchGate. In addition, there was a significant correlation between the ranking of medical universities based on the H-index of science metrics with their presence in the ResearchGate social network (P < 0.05). The results of this study reveal a relationship between the universities' ranking systems and altmetric indicators. These findings emphasise the necessity of increasing the presence of faculty members in social network activities in disseminating and sharing knowledge. [ABSTRACT FROM AUTHOR]
: Copyright of Journal of Information Science is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index