Literature DB >> 33112232

Task specialization across research careers.

Nicolas Robinson-Garcia1, Rodrigo Costas2,3, Cassidy R Sugimoto4, Vincent Larivière5, Gabriela F Nane1.   

Abstract

Research careers are typically envisioned as a single path in which a scientist starts as a member of a team working under the guidance of one or more experienced scientists and, if they are successful, ends with the individual leading their own research group and training future generations of scientists. Here we study the author contribution statements of published research papers in order to explore possible biases and disparities in career trajectories in science. We used Bayesian networks to train a prediction model based on a dataset of 70,694 publications from PLoS journals, which included 347,136 distinct authors and their associated contribution statements. This model was used to predict the contributions of 222,925 authors in 6,236,239 publications, and to apply a robust archetypal analysis to profile scientists across four career stages: junior, early-career, mid-career and late-career. All three of the archetypes we found - leader, specialized, and supporting - were encountered for early-career and mid-career researchers. Junior researchers displayed only two archetypes (specialized, and supporting), as did late-career researchers (leader and supporting). Scientists assigned to the leader and specialized archetypes tended to have longer careers than those assigned to the supporting archetype. We also observed consistent gender bias at all stages: the majority of male scientists belonged to the leader archetype, while the larger proportion of women belonged to the specialized archetype, especially for early-career and mid-career researchers.
© 2020, Robinson-Garcia et al.

Entities:  

Keywords:  biochemistry; careers in science; chemical biology; gender bias; meta-research; none; science of science

Mesh:

Year:  2020        PMID: 33112232      PMCID: PMC7647403          DOI: 10.7554/eLife.60586

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  25 in total

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Authors:  Roger Guimerà; Brian Uzzi; Jarrett Spiro; Luís A Nunes Amaral
Journal:  Science       Date:  2005-04-29       Impact factor: 47.728

2.  An Unbiased Correlation Ratio Measure.

Authors:  T L Kelley
Journal:  Proc Natl Acad Sci U S A       Date:  1935-09       Impact factor: 11.205

3.  Reliability of disclosure forms of authors' contributions.

Authors:  Vesna Ilakovac; Kristina Fister; Matko Marusic; Ana Marusic
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4.  Bibliometrics: The Leiden Manifesto for research metrics.

Authors:  Diana Hicks; Paul Wouters; Ludo Waltman; Sarah de Rijcke; Ismael Rafols
Journal:  Nature       Date:  2015-04-23       Impact factor: 49.962

5.  Collective credit allocation in science.

Authors:  Hua-Wei Shen; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2014-08-11       Impact factor: 11.205

6.  Publishing: Credit where credit is due.

Authors:  Liz Allen; Jo Scott; Amy Brand; Marjorie Hlava; Micah Altman
Journal:  Nature       Date:  2014-04-17       Impact factor: 49.962

7.  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

8.  The rise of the middle author: Investigating collaboration and division of labor in biomedical research using partial alphabetical authorship.

Authors:  Philippe Mongeon; Elise Smith; Bruno Joyal; Vincent Larivière
Journal:  PLoS One       Date:  2017-09-14       Impact factor: 3.240

9.  Follow the leader: On the relationship between leadership and scholarly impact in international collaborations.

Authors:  Zaida Chinchilla-Rodríguez; Cassidy R Sugimoto; Vincent Larivière
Journal:  PLoS One       Date:  2019-06-20       Impact factor: 3.240

10.  Use of the Journal Impact Factor in academic review, promotion, and tenure evaluations.

Authors:  Erin C McKiernan; Juan P Alperin; Lesley A Schimanski; Carol Muñoz Nieves; Lisa Matthias; Meredith T Niles
Journal:  Elife       Date:  2019-07-31       Impact factor: 8.140

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  2 in total

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Authors:  Irene Ramos-Vielba; Nicolas Robinson-Garcia; Richard Woolley
Journal:  PLoS One       Date:  2022-06-03       Impact factor: 3.752

2.  The unequal impact of parenthood in academia.

Authors:  Allison C Morgan; Samuel F Way; Michael J D Hoefer; Daniel B Larremore; Mirta Galesic; Aaron Clauset
Journal:  Sci Adv       Date:  2021-02-24       Impact factor: 14.136

  2 in total

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