1. Does Altmetric Attention Score of Articles on Diabetes Mellitus Correlate with their Citations in Google Scholar, Scopus, Web of Science and Dimensions?
- Author
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Maryam Esmaeilzadeh, Shokoufeh Bonakdaran, Heidar Mokhtari, and Ali Ouchi
- Subjects
social media ,altmetrics ,bibliometrics ,citations ,highly-cited papers ,Information resources (General) ,ZA3040-5185 ,Transportation and communications ,HE1-9990 - Abstract
This applied altmetric study aimed to analyze the presence of highly-cited documents on diabetes mellitus in online social media and correlate their altmetric attention scores with their received citation counts. Twenty thousand highly-cited documents on diabetes mellitus were identified in Scopus and their altmetric attention scores (ASSs) were extracted from Altmetric Explorer (Altmetric LLP, London, UK). Received citation rates of the documents were extracted from Google Scholar, Scopus, Web of Science and Dimensions. Excell 2016 and SPSS 22 were used for data statistical description and analysis. Out of 19,383 DOI-owner highly-cited documents on diabetes mellitus, 16,076 (82.94%) were shared at least once in social media and had an altmetric attention score. Mendeley ranked first in sharing documents with 16,868 documents (87.02%). Six hundred forty-six thousand one hundred eighty-four tweets were tweeted on the studied documents from 222 countries, with the United States as first-ranked country (17,453 tweets, 18.2%). The highest-mentioned journal was the Lancet, and the highest-mentioned research institute was Harvard University. A significantly positive correlation was found between the altmetric attention scores of the studied documents and their citation counts in Google scholar (r= .842, p
- Published
- 2023
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