On the differences between citations and altmetrics: An investigation of factors driving altmetrics versus citations for finnish articles. (25th March 2018)

• Record Type: Journal Article
• Authors: Didegah, Fereshteh; Bowman, Timothy D.; Holmberg, Kim
• Is Part Of: Journal of the Association for Information Science and Technology. Volume 69:Number 6(2018:Jun.)
• Page Start: 832
• Page End: 843
• Publication Date: 2018-03-25
• Subjects: Information science -- Periodicals; Information technology -- Periodicals; 020.5
• DOI: 10.1002/asi.23934
• Languages: English
• ISSNs: 2330-1635

Abstract

Abstract : This study examines a range of factors associated with future citation and altmetric counts to a paper. The factors include journal impact factor, individual collaboration, international collaboration, institution prestige, country prestige, research funding, abstract readability, abstract length, title length, number of cited references, field size, and field type and will be modeled in association with citation counts, Mendeley readers, Twitter posts, Facebook posts, blog posts, and news posts. The results demonstrate that eight factors are important for increased citation counts, seven different factors are important for increased Mendeley readers, eight factors are important for increased Twitter posts, three factors are important for increased Facebook posts, six factors are important for increased blog posts, and five factors are important for increased news posts. Journal impact factor and international collaboration are the two factors that significantly associate with increased citation counts and with all altmetric scores. Moreover, it seems that the factors driving Mendeley readership are similar to those driving citation counts. However, the altmetric events differ from each other in terms of a small number of factors; for instance, institution prestige and country prestige associate with increased Mendeley readers and blog and news posts, but it is an insignificant factor for Twitter and Facebook posts. The findings contribute to the continued development of theoretical models and methodological developments associated with capturing, interpreting, and understanding altmetric events.