Comment on "Quantifying long-term scientific impact"
| Title: | Comment on "Quantifying long-term scientific impact" |
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| Format: | Journal Article |
| Publication Date: | 2014 |
| Published In: | Science |
| Description: | 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. |
| Ivan Allen College Contributors: | |
| Citation: | Science. 345. Issue 6193. ISSN 0036-8075. DOI 10.1126/science.1248770. |
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