The power law relationship between citation impact and multi-authorship patterns in articles in Information Science & Library Science journals
Autor: | J. Sylvan Katz, Guillermo Armando Ronda-Pupo |
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Rok vydání: | 2017 |
Předmět: |
media_common.quotation_subject
05 social sciences General Social Sciences Library science Library and Information Sciences 050905 science studies Citation impact Power law Information science Computer Science Applications symbols.namesake Exponent symbols Matthew effect Conversation Co authorship Sociology 0509 other social sciences 050904 information & library sciences Scaling media_common |
Zdroj: | Scientometrics. 114:919-932 |
ISSN: | 1588-2861 0138-9130 |
DOI: | 10.1007/s11192-017-2612-7 |
Popis: | The aim of this paper is to extend the conversation about the correlation between collaboration and citation impact in articles in Information Science & Library Science journals by analyzing this correlation’s behavior using a power scaling law approach. 28,131 articles that received 215,693 citations were analyzed. The number of these articles that were published through collaboration accounts for 69%. In general, the scaling exponent of multi-authored articles, both international and domestic, increases over time while the exponent of single-authored papers decreases. The citation impact and collaboration patterns exhibit a power law correlation with a scaling exponent of 1.34 ± 0.02. Citations to multi-authored articles increased $$2^{1.34}$$ or 2.53 times each time the number of multi-authored papers doubled. The Matthew Effect is stronger for multi-authored papers than for single-authored. The scaling exponent for the power law relationship of domestic multi-authored papers was 1.35 ± 0.02. The citations to domestic multi-authored articles increased $$2^{1.35}$$ or 2.55 times each time the number of domestic multi-authored articles doubled. Contrary to previous studies we found that the Matthew Effect is stronger for domestic multi-authored papers than for international multi-authored ones. |
Databáze: | OpenAIRE |
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