A1 Journal article – refereed

On the differences between citations and altmetrics: An investigation of factors driving altmetrics vs. citations for Finnish Articles




List of Authors: Fereshteh Didegah, Timothy D. Bowman, Kim Holmberg

Publisher: John Wiley & Sons, Inc

Publication year: 2018

Journal: Journal of the Association for Information Science and Technology

Volume number: 69

Issue number: 6

Number of pages: 12

ISSN: 2330-1635

eISSN: 2330-1643

DOI: http://dx.doi.org/10.1002/asi.23934

URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2330-1643


Abstract

This study examines a range of factors associating 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 modelled 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.


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Last updated on 2021-24-06 at 11:17