Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81432
Title: Disciplinary differences in altmetrics for social sciences
Authors: Htoo, Tint Hla Hla
Na, Jin-Cheon
Keywords: Altmetrics
Bibliometrics
Issue Date: 2017
Source: Htoo, T. H. H., & Na, J. C. (2017). Disciplinary differences in altmetrics for social sciences. Online Information Review, 41(2), 235-251.
Series/Report no.: Online Information Review
Abstract: Purpose - The purpose of this paper is to contribute to the understanding of altmetrics in different disciplines of Social Science, first, by investigating the current richness and future potential of altmetrics in the selected social science disciplines and then, by evaluating the validity of altmetrics as indicators of research impact in each discipline through correlation analysis. Design/methodology/approach – This study uses 3 methods to understand the current richness and future potential of 10 altmetric measures in 9 selected disciplines: (1) investigate the distribution and trend of altmetric data, (2) verify the relationship between citation rate and altmetric presence of the discipline using Pearson correlation, and (3) perform word frequency analysis on tweets to understand different altmetric presence in different disciplines. In addition, this study uses Spearman and Sign Test to find the correlation between altmetrics and citation counts for the articles that receive altmetric mention(s) to test the validity of altmetrics as indicators of research impact. Findings – (1) There is a steady increase in the number of articles that receive altmetric mentions in all disciplines studied. (2) In general, disciplines with higher citation rates have higher altmetric presence. At the same time, altmetrics are also an effective complement to citation in disciplines with low citation rates. (3) There are a moderate correlation with Mendeley and significant but weak correlations with Tweets and CiteULike in 7 disciplines. (4) Altmetrics are most effective as a predictor of citation counts in Psychiatry, Clinical Psychology and Political Science; appear useful in Nursing and Information Science & Library Science; fairly applicable in Health Policy and Services and Management. However, there is low altmetric presence and lack of correlation with citation counts in Business-Finance and Law disciplines. Originality/value – This paper furthers our understanding of altmetrics in social science disciplines. It reveals the disciplines where altmetrics are most effective, potentially useful and fairly applicable. In addition, it presents evidence that altmetrics are an effective complement to citation in disciplines with low citation rates.
URI: https://hdl.handle.net/10356/81432
http://hdl.handle.net/10220/42249
ISSN: 1468-4527
DOI: 10.1108/OIR-12-2015-0386
Schools: Wee Kim Wee School of Communication and Information 
Departments: Library 
Rights: © 2017 Emerald Publishing Limited. This is the author created version of a work that has been peer reviewed and accepted for publication by Online Information Review, Emerald Publishing Limited. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1108/OIR-12-2015-0386].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LIB Journal Articles
WKWSCI Journal Articles

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