A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä

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




TekijätFereshteh Didegah, Timothy D. Bowman, Kim Holmberg

KustantajaJohn Wiley & Sons, Inc

Julkaisuvuosi2018

JournalJournal of the Association for Information Science and Technology

Vuosikerta69

Numero6

Aloitussivu832

Lopetussivu843

Sivujen määrä12

ISSN2330-1635

eISSN2330-1643

DOIhttps://doi.org/10.1002/asi.23934

Verkko-osoitehttp://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2330-1643

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/17323113


Tiivistelmä

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.


Ladattava julkaisu

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Last updated on 2024-26-11 at 19:54