Literature DB >> 18999104

Social network analysis of interdisciplinarity in obesity research.

Michael Bales1, Stephen B Johnson, Chunhua Weng.   

Abstract

Transdisciplinary research accelerates scientific progress. Despite the value of social network analysis to characterize interdepartmental collaboration, institutions have been slow to adopt the approach. We use the approach to characterize collaboration among obesity researchers at our institution, identifying cores of researchers engaged in frequent collaborations. Providing an objective view of research across an institution, social network analysis is a baseline for efforts to facilitate transdisciplinary collaboration.

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Year:  2008        PMID: 18999104

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  4 in total

1.  Evolution of coauthorship in public health services and systems research.

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Journal:  Am J Prev Med       Date:  2011-07       Impact factor: 5.043

2.  Discovering opinion leaders for medical topics using news articles.

Authors:  Siddhartha Jonnalagadda; Ryan Peeler; Philip Topham
Journal:  J Biomed Semantics       Date:  2012-03-15

3.  Networks of trainees: examining the effects of attending an interdisciplinary research training camp on the careers of new obesity scholars.

Authors:  Jenny Godley; Nicole M Glenn; Arya M Sharma; John C Spence
Journal:  J Multidiscip Healthc       Date:  2014-10-09

4.  Scientific authorship and collaboration network analysis on malaria research in Benin: papers indexed in the web of science (1996-2016).

Authors:  Roseric Azondekon; Zachary James Harper; Fiacre Rodrigue Agossa; Charles Michael Welzig; Susan McRoy
Journal:  Glob Health Res Policy       Date:  2018-04-06
  4 in total

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