Quantifying conceptual novelty in the biomedical literature

Shubhanshu Mishra, Vetle I. Torvik

Research output: Contribution to journalArticle

Abstract

We introduce several measures of novelty for a scientific article in MEDLINE based on the temporal profiles of its assigned Medical Subject Headings (MeSH). First, temporal profiles for all MeSH terms (and pairs of MeSH terms) were characterized empirically and modelled as logistic growth curves. Second, a paper's novelty is captured by its youngest MeSH (and pairs of MeSH) as measured in years and volume of prior work. Across all papers in MEDLINE published since 1985, we find that individual concept novelty is rare (2.7% of papers have a MeSH ≤ 3 years old; 1.0% have a MeSH ≤ 20 papers old), while combinatorial novelty is the norm (68% have a pair of MeSH ≤ 3 years old; 90% have a pair of MeSH ≤ 10 papers old). Furthermore, these novelty measures exhibit complex correlations with article impact (as measured by citations received) and authors' professional age.

Original languageEnglish (US)
JournalD-Lib Magazine
Volume22
Issue number9-10
DOIs
StatePublished - Jan 1 2016

Keywords

  • Bibliometrics
  • MEDLINE
  • Novelty

ASJC Scopus subject areas

  • Library and Information Sciences

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  • Datasets

    Conceptual novelty scores for PubMed articles

    Mishra, S. (Creator) & Torvik, V. I. (Creator), University of Illinois at Urbana-Champaign, Apr 23 2018

    Dataset

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