Literature DB >> 34288914

TeamTree analysis: A new approach to evaluate scientific production.

Frank W Pfrieger1.   

Abstract

Advances in science and technology depend on the work of research teams and the publication of results through peer-reviewed articles representing a growing socio-economic resource. Current methods to mine the scientific literature regarding a field of interest focus on content, but the workforce credited by authorship remains largely unexplored. Notably, appropriate measures of scientific production are debated. Here, a new bibliometric approach named TeamTree analysis is introduced that visualizes the development and composition of the workforce driving a field. A new citation-independent measure that scales with the H index estimates impact based on publication record, genealogical ties and collaborative connections. This author-centered approach complements existing tools to mine the scientific literature and to evaluate research across disciplines.

Entities:  

Year:  2021        PMID: 34288914     DOI: 10.1371/journal.pone.0253847

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  46 in total

1.  Impact of medical academic genealogy on publication patterns: An analysis of the literature for surgical resection in brain tumor patients.

Authors:  Brian R Hirshman; Jessica A Tang; Laurie A Jones; James A Proudfoot; Kathleen M Carley; Lawrence Marshall; Bob S Carter; Clark C Chen
Journal:  Ann Neurol       Date:  2016-01-04       Impact factor: 10.422

Review 2.  Rethinking organoid technology through bioengineering.

Authors:  Elena Garreta; Roger D Kamm; Susana M Chuva de Sousa Lopes; Madeline A Lancaster; Ron Weiss; Xavier Trepat; Insoo Hyun; Nuria Montserrat
Journal:  Nat Mater       Date:  2020-11-16       Impact factor: 43.841

Review 3.  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

4.  Dynamics of co-authorship and productivity across different fields of scientific research.

Authors:  Austin J Parish; Kevin W Boyack; John P A Ioannidis
Journal:  PLoS One       Date:  2018-01-10       Impact factor: 3.240

5.  Tracking the popularity and outcomes of all bioRxiv preprints.

Authors:  Richard J Abdill; Ran Blekhman
Journal:  Elife       Date:  2019-04-24       Impact factor: 8.140

6.  Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources.

Authors:  Michael Gusenbauer; Neal R Haddaway
Journal:  Res Synth Methods       Date:  2020-01-28       Impact factor: 5.273

7.  ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions.

Authors:  Paul J Albert; Sarbajit Dutta; Jie Lin; Zimeng Zhu; Michael Bales; Stephen B Johnson; Mohammad Mansour; Drew Wright; Terrie R Wheeler; Curtis L Cole
Journal:  PLoS One       Date:  2021-04-01       Impact factor: 3.240

8.  The nearly universal link between the age of past knowledge and tomorrow's breakthroughs in science and technology: The hotspot.

Authors:  Satyam Mukherjee; Daniel M Romero; Ben Jones; Brian Uzzi
Journal:  Sci Adv       Date:  2017-04-19       Impact factor: 14.136

9.  Authorship and contribution disclosures.

Authors:  Henry Sauermann; Carolin Haeussler
Journal:  Sci Adv       Date:  2017-11-08       Impact factor: 14.136

Review 10.  Can literature analysis identify innovation drivers in drug discovery?

Authors:  Pankaj Agarwal; David B Searls
Journal:  Nat Rev Drug Discov       Date:  2009-11       Impact factor: 84.694

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