Literature DB >> 25013055

Science communication. Comment on "Quantifying long-term scientific impact".

Jian Wang1, Yajun Mei2, Diana Hicks3.   

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.
Copyright © 2014, American Association for the Advancement of Science.

Mesh:

Year:  2014        PMID: 25013055     DOI: 10.1126/science.1248770

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  1 in total

1.  Interdisciplinarity and impact: distinct effects of variety, balance, and disparity.

Authors:  Jian Wang; Bart Thijs; Wolfgang Glänzel
Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

  1 in total

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