Quantifying long-term scientific impact - PubMed (original) (raw)
. 2013 Oct 4;342(6154):127-32.
doi: 10.1126/science.1237825.
Affiliations
- PMID: 24092745
- DOI: 10.1126/science.1237825
Quantifying long-term scientific impact
Dashun Wang et al. Science. 2013.
Abstract
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.
Comment in
- Computer science. Future science.
Evans JA. Evans JA. Science. 2013 Oct 4;342(6154):44-5. doi: 10.1126/science.1245218. Science. 2013. PMID: 24092715 No abstract available. - Science communication. Comment on "Quantifying long-term scientific impact".
Wang J, Mei Y, Hicks D. Wang J, et al. Science. 2014 Jul 11;345(6193):149. doi: 10.1126/science.1248770. Epub 2014 Jul 10. Science. 2014. PMID: 25013055 - Science communication. Response to Comment on "Quantifying long-term scientific impact".
Wang D, Song C, Shen HW, Barabási AL. Wang D, et al. Science. 2014 Jul 11;345(6193):149. doi: 10.1126/science.1248961. Epub 2014 Jul 10. Science. 2014. PMID: 25013056
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