Comment on "Quantifying long-term scientific impact"

Title: Comment on "Quantifying long-term scientific impact"
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.
Related Departments:
  • School of Public Policy