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Exploring Relationships between Article Level Metrics and Content Quantities in Academic Papers

Casey, Arlene J.; Murtagh, Fionn; Ahmadi, Samad

Abstract:
Academic papers are growing at the rate of around 3% per year. Navigating this increasing information is challenging for a researcher seeking out high quality content. Our research explores relationships between traditional article level metrics, particularly citations, altmetrics and content quantities, to determine if relationships exist. Understanding these relationships may help to provide indicators to readers about article content prior to reading a paper and guide in paper selection. The research shows that there are positive strong relationships between citations and Mendeley readership counts but not between the citations and the Altmetric score or Twitter counts. This suggests that they are not related or other factors need to be taken into account when looking at altmetrics. We suggest that one of the factors that needs to be accounted for is popular subjects and further exploration is needed to understand how this influences altmetrics. The relationships between the quantities and article metrics are slight but more pronounced when we look at a subset of data with lower Altmetric scores and Twitter counts. There is ... mehr


Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator DOI: 10.5445/KSP/1000058749/06
ISSN: 2363-9881
URN: urn:nbn:de:swb:90-670187
KITopen ID: 1000067018
Erschienen in Archives of Data Science, Series A (Online First)
Band 2
Heft 1
Seiten 13 S. online
Lizenz CC BY-SA 4.0: Creative Commons Namensnennung – Weitergabe unter gleichen Bedingungen 4.0 International
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