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Quantifying Long-Term Scientific Impact

Wang, Dashun ; Song, Chaoming ; Barabási, Albert-László

Science (American Association for the Advancement of Science), 2013-10, Vol.342 (6154), p.127-132 [Periódico revisado por pares]

Washington, DC: American Association for the Advancement of Science

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Título:
Quantifying Long-Term Scientific Impact
Autor: Wang, Dashun ; Song, Chaoming ; Barabási, Albert-László
Assuntos: Bibliographic citations ; Bibliometrics. Scientometrics ; Bibliometrics. Scientometrics. Evaluation ; Citation analysis ; Communities ; Currencies ; Exact sciences and technology ; Fitness ; Immediacy ; Impact analysis ; Impact factor ; Information and communication sciences ; Information science. Documentation ; Journal Impact Factor ; Law Enforcement ; Library and information science. General aspects ; Links ; Logistics ; Mathematical models ; Modeling ; Models, Theoretical ; Predictability ; Predictive modeling ; Regularity ; Research paper writing ; Scholarly publishing ; Science ; Sciences and techniques of general use
É parte de: Science (American Association for the Advancement of Science), 2013-10, Vol.342 (6154), p.127-132
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: The lack of predictability of citation-based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: Is there long-term predictability in citation patterns? Here, we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers tend to follow the same universal temporal pattern. The observed patterns not only help us uncover basic mechanisms that govern scientific impact but also offer reliable measures of influence that may have potential policy implications.
Editor: Washington, DC: American Association for the Advancement of Science
Idioma: Inglês

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Quantifying Long-Term Scientific Impact

Wang, Dashun ; Song, Chaoming ; Barabási, Albert-László

Washington, DC: American Association for the Advancement of Science

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