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Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data

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arxiv 1910.03233 v1 pith:QUCCBG4O submitted 2019-10-08 cs.DL

classification cs.DL
keywords noveltyscoresresultsscoreconvergentmeasuretagsvalidity
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Lee, Walsh, and Wang (2015) - based on Uzzi, Mukherjee, Stringer, and Jones (2013) - and Wang, Veugelers, and Stephan (2017) proposed scores based on cited references (cited journals) data which can be used to measure the novelty of papers (named as novelty scores U and W in this study). Although previous research has used novelty scores in various empirical analyses, no study has been published up to now - to the best of our knowledge - which quantitatively tested the convergent validity of novelty scores: do these scores measure what they propose to measure? Using novelty assessments by faculty members (FMs) at F1000Prime for comparison, we tested the convergent validity of the two novelty scores (U and W). FMs' assessments not only refer to the quality of biomedical papers, but also to their characteristics (by assigning certain tags to the papers): for example, are the presented findings or formulated hypotheses novel (tags "new findings" and "hypothesis")? We used these and other tags to investigate the convergent validity of both novelty scores. Our study reveals different results for the novelty scores: the results for novelty score U are mostly in agreement with previously formulated expectations. We found, for instance, that for a standard deviation (one unit) increase in novelty score U, the expected number of assignments of the "new finding" tag increase by 7.47%. The results for novelty score W, however, do not reflect convergent validity with the FMs' assessments: only the results for some tags are in agreement with the expectations. Thus, we propose - based on our results - the use of novelty score U for measuring novelty quantitatively, but question the use of novelty score W.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Locating the Leading Edge of Cultural Change

    cs.CL 2024-11 conditional novelty 6.0 of 10

    Precocity measured from the most forward-looking quarter of a text aligns better with citations and authorial youth than whole-text averages, and neural embeddings do not beat topic models.

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