Response to comment on "Quantifying long-term scientific impact"

Dashun Wang, Chaoming Song, Hua Wei Shen, Albert László Barabási

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Wang, Mei, and Hicks claim that they observed large mean prediction errors when using our model. We find that their claims are a simple consequence of overfitting, which can be avoided by standard regularization methods. Here, we show that our model provides an effective means to identify papers that may be subject to overfitting, and the model, with or without prior treatment, outperforms the proposed naïve approach.

Original languageEnglish (US)
JournalScience
Volume345
Issue number6193
DOIs
StatePublished - 2014

ASJC Scopus subject areas

  • General
  • Medicine(all)

Cite this

Response to comment on "Quantifying long-term scientific impact". / Wang, Dashun; Song, Chaoming; Shen, Hua Wei; Barabási, Albert László.

In: Science, Vol. 345, No. 6193, 2014.

Research output: Contribution to journalArticle

Wang, Dashun ; Song, Chaoming ; Shen, Hua Wei ; Barabási, Albert László. / Response to comment on "Quantifying long-term scientific impact". In: Science. 2014 ; Vol. 345, No. 6193.
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