Science communication. Comment on "Quantifying long-term scientific impact".
editorial · Level V
Where this comes from
- Record sourced from PubMed, PMID 25013055.
- Also identified by DOI 10.1126/science.1248770.
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Abstract
Wang et al. (Reports, 4 October 2013, p. 127) claimed high prediction power for their model of citation dynamics. We replicate their analysis but find discouraging results: 14.75% papers are estimated with unreasonably large μ (>5) and λ (>10) and correspondingly enormous prediction errors. The prediction power is even worse than simply using short-term citations to approximate long-term citations.
Medical subject headings
- Journal Impact Factor
- Models, Theoretical