Literature DB >> 25114238

Collective credit allocation in science.

Hua-Wei Shen1, Albert-László Barabási2.   

Abstract

Collaboration among researchers is an essential component of the modern scientific enterprise, playing a particularly important role in multidisciplinary research. However, we continue to wrestle with allocating credit to the coauthors of publications with multiple authors, because the relative contribution of each author is difficult to determine. At the same time, the scientific community runs an informal field-dependent credit allocation process that assigns credit in a collective fashion to each work. Here we develop a credit allocation algorithm that captures the coauthors' contribution to a publication as perceived by the scientific community, reproducing the informal collective credit allocation of science. We validate the method by identifying the authors of Nobel-winning papers that are credited for the discovery, independent of their positions in the author list. The method can also compare the relative impact of researchers working in the same field, even if they did not publish together. The ability to accurately measure the relative credit of researchers could affect many aspects of credit allocation in science, potentially impacting hiring, funding, and promotion decisions.

Keywords:  network science; scientific impact; team science

Mesh:

Year:  2014        PMID: 25114238      PMCID: PMC4151753          DOI: 10.1073/pnas.1401992111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  32 in total

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3.  Generation of nonclassical motional states of a trapped atom.

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4.  Layered magnetic structures: Evidence for antiferromagnetic coupling of Fe layers across Cr interlayers.

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5.  Electric field effect in atomically thin carbon films.

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Journal:  Science       Date:  2004-10-22       Impact factor: 47.728

6.  An index to quantify an individual's scientific research output.

Authors:  J E Hirsch
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-07       Impact factor: 11.205

7.  The mismeasurement of science.

Authors:  Peter A Lawrence
Journal:  Curr Biol       Date:  2007-08-07       Impact factor: 10.834

8.  Quantifying long-term scientific impact.

Authors:  Dashun Wang; Chaoming Song; Albert-László Barabási
Journal:  Science       Date:  2013-10-04       Impact factor: 47.728

9.  Citation analysis as a tool in journal evaluation.

Authors:  E Garfield
Journal:  Science       Date:  1972-11-03       Impact factor: 47.728

10.  The Matthew effect in science. The reward and communication systems of science are considered.

Authors:  R K Merton
Journal:  Science       Date:  1968-01-05       Impact factor: 47.728

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  21 in total

1.  Quantifying the impact of weak, strong, and super ties in scientific careers.

Authors:  Alexander Michael Petersen
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-10       Impact factor: 11.205

2.  Competitive science: is competition ruining science?

Authors:  Ferric C Fang; Arturo Casadevall
Journal:  Infect Immun       Date:  2015-01-20       Impact factor: 3.441

3.  Bridging the Gap with Clinicians: The Issue of Underrecognition of Pathologists and Radiologists as Scientific Authors in Contemporary Medical Literature.

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Journal:  Sci Eng Ethics       Date:  2019-07-30       Impact factor: 3.525

4.  Opinion: Authors overestimate their contribution to scientific work, demonstrating a strong bias.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-24       Impact factor: 11.205

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Journal:  J R Soc Interface       Date:  2020-04-22       Impact factor: 4.118

Review 6.  Science of science.

Authors:  Santo Fortunato; Carl T Bergstrom; Katy Börner; James A Evans; Dirk Helbing; Staša Milojević; Alexander M Petersen; Filippo Radicchi; Roberta Sinatra; Brian Uzzi; Alessandro Vespignani; Ludo Waltman; Dashun Wang; Albert-László Barabási
Journal:  Science       Date:  2018-03-02       Impact factor: 47.728

7.  Collaborative patterns, authorship practices and scientific success in biomedical research: a network analysis.

Authors:  Vanash M Patel; Pietro Panzarasa; Hutan Ashrafian; Tim S Evans; Ali Kirresh; Nick Sevdalis; Ara Darzi; Thanos Athanasiou
Journal:  J R Soc Med       Date:  2019-06       Impact factor: 5.344

8.  Impactful scientists have higher tendency to involve collaborators in new topics.

Authors:  An Zeng; Ying Fan; Zengru Di; Yougui Wang; Shlomo Havlin
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-08       Impact factor: 12.779

9.  Task specialization across research careers.

Authors:  Nicolas Robinson-Garcia; Rodrigo Costas; Cassidy R Sugimoto; Vincent Larivière; Gabriela F Nane
Journal:  Elife       Date:  2020-10-28       Impact factor: 8.140

10.  Kin of coauthorship in five decades of health science literature.

Authors:  Mattia Prosperi; Iain Buchan; Iuri Fanti; Sandro Meloni; Pietro Palladino; Vetle I Torvik
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-25       Impact factor: 11.205

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