May 2, 2024
Zohreh Zahedi

Zohreh Zahedi

Academic Rank: Assistant professor
Address: ,Department of Information Science, Faculty of Humanities Persian Gulf University, Bushehr
Degree: Ph.D in Information Science/Social media metrics (Altmetrics)
Phone: -
Faculty: Faculty of Humanities

Research

Title The thematic orientation of publications mentioned on social media: Large-scale disciplinary comparison of social media metrics with citations
Type Article
Keywords
Citation Analysis, Bibliometrics, Altmetrics, Science Indicators, Science mapping, Social Media Metrics
Journal Aslib Journal of Information Management
DOI 260-288
Researchers Rodrigo Costas (First researcher) , Zohreh Zahedi (Second researcher) , Paul Wouters (Third researcher)

Abstract

Purpose The purpose of this paper is to analyze the disciplinary orientation of scientific publications that were mentioned on different social media platforms, focussing on their differences and similarities with citation counts. Design/methodology/approach Social media metrics and readership counts, associated with 500,216 publications and their citation data from the Web of Science database, were collected from Altmetric.com and Mendeley. Results are presented through descriptive statistical analyses together with science maps generated with VOSviewer. Findings The results confirm Mendeley as the most prevalent social media source with similar characteristics to citations in their distribution across fields and their density in average values per publication. The humanities, natural sciences, and engineering disciplines have a much lower presence of social media metrics. Twitter has a stronger focus on general medicine and social sciences. Other sources (blog, Facebook, Google+, and news media mentions) are more prominent in regards to multidisciplinary journals. Originality/value This paper reinforces the relevance of Mendeley as a social media source for analytical purposes from a disciplinary perspective, being particularly relevant for the social sciences (together with Twitter). Key implications for the use of social media metrics on the evaluation of research performance (e.g. the concentration of some social media metrics, such as blogs, news items, etc., around multidisciplinary journals) are identified.