Literature DB >> 30530666

Scientific prize network predicts who pushes the boundaries of science.

Yifang Ma1,2, Brian Uzzi3,2,4.   

Abstract

Scientific prizes confer credibility to persons, ideas, and disciplines, provide financial incentives, and promote community-building celebrations. We examine the growth dynamics and interlocking relationships found in the worldwide scientific prize network. We focus on understanding how the knowledge linkages among prizes and scientists' propensities for prizewinning relate to knowledge pathways between disciplines and stratification within disciplines. Our data cover more than 3,000 different scientific prizes in diverse disciplines and the career histories of 10,455 prizewinners worldwide for over 100 years. We find several key links between prizes and scientific advances. First, despite an explosive proliferation of prizes over time and across the globe, prizes are more concentrated within a relatively small group of scientific elites, and ties among elites are highly clustered, suggesting that a relatively constrained number of ideas and scholars push the boundaries of science. For example, 64.1% of prizewinners have won two prizes and 13.7% have won five or more prizes. Second, certain prizes strongly interlock disciplines and subdisciplines, creating key pathways by which knowledge spreads and is recognized across science. Third, genealogical and coauthorship networks predict who wins multiple prizes, which helps to explain the interconnectedness among celebrated scientists and their pathbreaking ideas.

Entities:  

Keywords:  Nobel; computational social science; genealogy; science of science; social networks

Mesh:

Year:  2018        PMID: 30530666      PMCID: PMC6294901          DOI: 10.1073/pnas.1800485115

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


  14 in total

1.  Forecasting innovations in science, technology, and education.

Authors:  Katy Börner; William B Rouse; Paul Trunfio; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-11       Impact factor: 11.205

2.  Global citation inequality is on the rise.

Authors:  Mathias Wullum Nielsen; Jens Peter Andersen
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-16       Impact factor: 11.205

3.  Winners and runners-up alike?-a comparison between awardees and special mention recipients of the most reputable science award in Colombia via a composite citation indicator.

Authors:  Julián D Cortés; Daniel A Andrade
Journal:  Humanit Soc Sci Commun       Date:  2022-06-28

4.  Women who win prizes get less money and prestige.

Authors:  Yifang Ma; Diego F M Oliveira; Teresa K Woodruff; Brian Uzzi
Journal:  Nature       Date:  2019-01       Impact factor: 49.962

5.  Mentorship and protégé success in STEM fields.

Authors:  Yifang Ma; Satyam Mukherjee; Brian Uzzi
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-10       Impact factor: 11.205

6.  Where is your field going? A machine learning approach to study the relative motion of the domains of physics.

Authors:  Andrea Palmucci; Hao Liao; Andrea Napoletano; Andrea Zaccaria
Journal:  PLoS One       Date:  2020-06-18       Impact factor: 3.240

7.  Work honored by Nobel prizes clusters heavily in a few scientific fields.

Authors:  John P A Ioannidis; Ioana-Alina Cristea; Kevin W Boyack
Journal:  PLoS One       Date:  2020-07-29       Impact factor: 3.240

8.  Gender and societies: a grassroots approach to women in science.

Authors:  Alex James; Rose Chisnall; Michael J Plank
Journal:  R Soc Open Sci       Date:  2019-09-04       Impact factor: 2.963

9.  Effects of homophily and academic reputation in the nomination and selection of Nobel laureates.

Authors:  Riccardo Gallotti; Manlio De Domenico
Journal:  Sci Rep       Date:  2019-11-21       Impact factor: 4.379

10.  Importance of scientific collaboration in contemporary drug discovery and development: a detailed network analysis.

Authors:  Feixiong Cheng; Yifang Ma; Brian Uzzi; Joseph Loscalzo
Journal:  BMC Biol       Date:  2020-10-13       Impact factor: 7.431

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.