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Article
Comment on “Quantifying long-term scientific impact”
Science (2014)
  • Jian Wang, KU Leuven
  • Yajun Mei, Georgia Institute of Technology - Main Campus
  • Diana Hicks, Georgia Institute of Technology - Main Campus
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.
Publication Date
Summer July 11, 2014
DOI
10.1126/science.1248770
Citation Information
Jian Wang, Yajun Mei and Diana Hicks. "Comment on “Quantifying long-term scientific impact”" Science Vol. 345 Iss. 6193 (2014) p. 149
Available at: http://works.bepress.com/jwang/16/