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The scaling relationship between citation-based performance and co-authorship patterns in natural sciences
journal contribution
posted on 2023-06-09, 02:02 authored by Guillermo Armando Ronda-Pupo, J. Sylvan KatzThe aim of this paper is to extend our knowledge about the power-law relationship between citation-based performance and collaboration patterns for papers in the natural sciences. We analyzed 829,924 articles that received 16,490,346 citations. The number of articles published through collaboration account for 89%. The citation-based performance and collaboration patterns exhibit a power-law correlation with a scaling exponent of 1.20 ± 0.07. Citations to a subfield’s research articles tended to increase 2.1.20 or 2.30 times each time it doubles the number of collaborative papers. The scaling exponent for the power-law relationship for single-authored papers was 0.85 ± 0.11. The citations to a subfield’s single-authored research articles increased 2.0.85 or 1.89 times each time the research area doubles the number of non-collaborative papers. The Matthew effect is stronger for collaborated papers than for single-authored. In fact, with a scaling exponent < 1.0 the impact of single-author papers exhibits a cumulative disadvantage or inverse Matthew effect.
History
Publication status
- Published
Journal
Journal of the Association for Information Science and TechnologyISSN
2330-1643Publisher
John Wiley & SonsExternal DOI
Issue
3Volume
107Page range
1423-1434Department affiliated with
- SPRU - Science Policy Research Unit Publications
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- No
Peer reviewed?
- Yes
Legacy Posted Date
2016-07-06Usage metrics
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