An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics

Zhichao Fang (), Rodrigo Costas (), Wencan Tian (), Xianwen Wang () and Paul Wouters ()
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Zhichao Fang: Leiden University
Rodrigo Costas: Leiden University
Wencan Tian: Dalian University of Technology
Xianwen Wang: Dalian University of Technology
Paul Wouters: Leiden University

Scientometrics, 2020, vol. 124, issue 3, No 35, 2519-2549

Abstract: Abstract Sufficient data presence is one of the key preconditions for applying metrics in practice. Based on both Altmetric.com data and Mendeley data collected up to 2019, this paper presents a state-of-the-art analysis of the presence of 12 kinds of altmetric events for nearly 12.3 million Web of Science publications published between 2012 and 2018. Results show that even though an upward trend of data presence can be observed over time, except for Mendeley readers and Twitter mentions, the overall presence of most altmetric data is still low. The majority of altmetric events go to publications in the fields of Biomedical and Health Sciences, Social Sciences and Humanities, and Life and Earth Sciences. As to research topics, the level of attention received by research topics varies across altmetric data, and specific altmetric data show different preferences for research topics, on the basis of which a framework for identifying hot research topics is proposed and applied to detect research topics with higher levels of attention garnered on certain altmetric data source. Twitter mentions and policy document citations were selected as two examples to identify hot research topics of interest of Twitter users and policy-makers, respectively, shedding light on the potential of altmetric data in monitoring research trends of specific social attention.

Keywords: Altmetrics; Social media metrics; Data coverage; Data intensity; Hot topics; Social attention (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (14)

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DOI: 10.1007/s11192-020-03564-9

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