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Earlier Web Usage Statistics as Predictors of Later Citation Impact

2005/03/08 by Tim Brody, Brody, Tim, Stevan Harnad +1 · 1 citation
Computer Science · Decision Sciences · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Research Data Management Practices #Web visibility and informetrics #cs.IR #scientometrics and bibliometrics research

paper · pdf · doi:10.48550/arxiv.cs/0503020

arxiv created 2005/03/08 · openalex publication_date 2005/03/08 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The use of citation counts to assess the impact of research articles is well established. However, the citation impact of an article can only be measured several years after it has been published. As research articles are increasingly accessed through the Web, the number of times an article is downloaded can be instantly recorded and counted. One would expect the number of times an article is read to be related both to the number of times it is cited and to how old the article is. This paper analyses how short-term Web usage impact predicts medium-term citation impact. The physics e-print archive (arXiv.org) is used to test this.

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