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Cited by 402

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Earlier Web usage statistics as predictors of later citation impact

Open access
Brody, Tim, Harnad, Stevan, Carr, Leslie·2006·Journal of the American Society for Information Science and Technology

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. The authors analyze 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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Metadata

Authors
Brody, T., Harnad, S., & Carr, L.
Venue
Journal of the American Society for Information Science and Technology
Publisher
Wiley
Published
2006-04-25
Volume
57
Issue
8
Pages
1060-1072
ISSN
  • 1532-2882 (ISSN-L)
  • 1532-2890
OpenAlex
W2002034968
Cited by
402
References
2
FWCI
33.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Earlier Web usage statistics as predictors of later citation impact. https://app.cochat.ai/papers/10.1002/asi.20373
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Brody, T., Harnad, S., & Carr, L. (2006). Earlier Web usage statistics as predictors of later citation impact. Journal of the American Society for Information Science and Technology. https://doi.org/10.1002/asi.20373

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.