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来源类型Article
规范类型其他
DOI10.1007/s11192-016-1939-9
ISBN2330-1643
The scaling relationship between citation-based performance and co-authorship patterns in natural sciences.
Ronda-Pupo, Guillermo Armando; Katz, J. Sylvan
发表日期2016-06-01
出处Journal of the Association for Information Science and Technology
出版者John Wiley & Sons
出版年2016
页码1423-1434
语种英语
摘要The 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.
URLhttp://sro.sussex.ac.uk/id/eprint/61897/
来源智库Science Policy Research Unit (United Kingdom)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/468716
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Ronda-Pupo, Guillermo Armando,Katz, J. Sylvan. The scaling relationship between citation-based performance and co-authorship patterns in natural sciences.. 2016.
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