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Usage patterns of scholarly articles on Web of Science: a study on Web of Science usage count

Xianwen Wang (xianwenwang@dlut.edu.cn), Zhichao Fang and Xiaoling Sun
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Xianwen Wang: Dalian University of Technology
Zhichao Fang: Dalian University of Technology
Xiaoling Sun: Dalian University of Technology

Scientometrics, 2016, vol. 109, issue 2, No 15, 917-926

Abstract: Abstract Usage data of scholarly articles provide a direct way to explore the usage preferences of users. Using the “Usage Count” provided by the Web of Science platform, we collect and analyze the usage data of five journals in the field of Information Science and Library Science, to investigate the usage patterns of scholarly articles on Web of Science. Our analysis finds that the distribution of usage fits a power law. And according to the time distribution of usage, researchers prefer to use more recent papers. As to those old papers, citations play an important role in determining the usage count. Highly cited old papers are more likely to be used even a long time after publication.

Keywords: Article usage; Usage count; Altmetrics; Usage metrics; Web of Science (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (31)

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DOI: 10.1007/s11192-016-2093-0

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