Title: Comment on “Quantifying long-term scientific impact”
Authors: Wang, Jian ×
Mei, Yajun
Hicks, Diana #
Issue Date: Jul-2014
Publisher: American Association for the Advancement of Science
Series Title: Science vol:345 issue:6193 pages:149-149
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.
ISSN: 0036-8075
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Department of Managerial Economics, Strategy and Innovation (MSI), Leuven
× corresponding author
# (joint) last author

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