Quantifying Long-term Scientific Impact

نویسندگان

  • Dashun Wang
  • Chaoming Song
  • Albert-László Barabási
چکیده

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.

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Comment on "Quantifying Long-term Scientific Impact"

The paper comments on “Quantifying long-term scientific impact”. It indicates that there is a mistake of [D. S. Wang, C. Song, A. L. Barabási. Quantifying long-term scientific impact, Science, 342, 127 (2013)].

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Comment on “ Quantifying long - term scientific impact ”

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عنوان ژورنال:
  • Science

دوره 342 6154  شماره 

صفحات  -

تاریخ انتشار 2013