Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate

This paper introduces a simple agglomerative clustering method to identify large publishing consortia with at least 20 authors and 80% shared authorship between articles. Based on Scopus journal articles from 1996–2018, under these criteria, nearly all (88%) of the large consor...

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Main Author: Thelwall, Mike
Format: Article
Language:English
Published: The MIT Press 2020-02-01
Series:Quantitative Science Studies
Online Access:https://www.mitpressjournals.org/doi/abs/10.1162/qss_a_00003
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spelling doaj-0e6d6bcc2256450ba15a94ef9fa332232020-11-25T01:22:18ZengThe MIT PressQuantitative Science Studies2641-33372020-02-011129030210.1162/qss_a_00003Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluateThelwall, Mike This paper introduces a simple agglomerative clustering method to identify large publishing consortia with at least 20 authors and 80% shared authorship between articles. Based on Scopus journal articles from 1996–2018, under these criteria, nearly all (88%) of the large consortia published research with citation impact above the world average, with the exceptions being mainly the newer consortia, for which average citation counts are unreliable. On average, consortium research had almost double (1.95) the world average citation impact on the log scale used (Mean Normalised Log Citation Score). At least partial alphabetical author ordering was the norm in most consortia. The 250 largest consortia were for nuclear physics and astronomy, involving expensive equipment, and for predominantly health-related issues in genomics, medicine, public health, microbiology and neuropsychology. For the health-related issues, except for the first and last few authors, authorship seem to primarily indicate contributions to the shared project infrastructure necessary to gather the raw data. It is impossible for research evaluators to identify the contributions of individual authors in the huge alphabetical consortia of physics and astronomy and problematic for the middle and end authors of health-related consortia. For small-scale evaluations, authorship contribution statements could be used when available. https://www.mitpressjournals.org/doi/abs/10.1162/qss_a_00003
collection DOAJ
language English
format Article
sources DOAJ
author Thelwall, Mike
spellingShingle Thelwall, Mike
Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate
Quantitative Science Studies
author_facet Thelwall, Mike
author_sort Thelwall, Mike
title Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate
title_short Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate
title_full Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate
title_fullStr Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate
title_full_unstemmed Large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate
title_sort large publishing consortia produce higher citation impact research but coauthor contributions are hard to evaluate
publisher The MIT Press
series Quantitative Science Studies
issn 2641-3337
publishDate 2020-02-01
description This paper introduces a simple agglomerative clustering method to identify large publishing consortia with at least 20 authors and 80% shared authorship between articles. Based on Scopus journal articles from 1996–2018, under these criteria, nearly all (88%) of the large consortia published research with citation impact above the world average, with the exceptions being mainly the newer consortia, for which average citation counts are unreliable. On average, consortium research had almost double (1.95) the world average citation impact on the log scale used (Mean Normalised Log Citation Score). At least partial alphabetical author ordering was the norm in most consortia. The 250 largest consortia were for nuclear physics and astronomy, involving expensive equipment, and for predominantly health-related issues in genomics, medicine, public health, microbiology and neuropsychology. For the health-related issues, except for the first and last few authors, authorship seem to primarily indicate contributions to the shared project infrastructure necessary to gather the raw data. It is impossible for research evaluators to identify the contributions of individual authors in the huge alphabetical consortia of physics and astronomy and problematic for the middle and end authors of health-related consortia. For small-scale evaluations, authorship contribution statements could be used when available.
url https://www.mitpressjournals.org/doi/abs/10.1162/qss_a_00003
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