Literature DB >> 21392183

Understanding belief using citation networks.

Steven A Greenberg1.   

Abstract

Citation is a powerful method for establishing belief. Published statements gain credibility when followed by citations. Citation in its purest form consists of the scholarly connection of authors' ideas and claims to existing literature, yet there are also non-scholarly uses of citation that are best called citation distortions. Unfounded biomedical belief systems arising from citation distortions may become widely accepted as fact. The development of methodology for the study of citation distortions and belief systems regarding scientific claims was recently described. Here, I discuss further the methodological approaches to studying published scientific belief systems and identifying citation distortions.
© 2011 Blackwell Publishing Ltd.

Mesh:

Year:  2011        PMID: 21392183     DOI: 10.1111/j.1365-2753.2011.01646.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  4 in total

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Authors:  Robert G Badgett; Justin G Fernandez
Journal:  J Med Libr Assoc       Date:  2013-07

2.  Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications.

Authors:  Tim Clark; Paolo N Ciccarese; Carole A Goble
Journal:  J Biomed Semantics       Date:  2014-07-04

3.  Uniform resolution of compact identifiers for biomedical data.

Authors:  Sarala M Wimalaratne; Nick Juty; John Kunze; Greg Janée; Julie A McMurry; Niall Beard; Rafael Jimenez; Jeffrey S Grethe; Henning Hermjakob; Maryann E Martone; Tim Clark
Journal:  Sci Data       Date:  2018-05-08       Impact factor: 6.444

4.  FAIRSCAPE: a Framework for FAIR and Reproducible Biomedical Analytics.

Authors:  Maxwell Adam Levinson; Justin Niestroy; Sadnan Al Manir; Karen Fairchild; Douglas E Lake; J Randall Moorman; Timothy Clark
Journal:  Neuroinformatics       Date:  2021-07-15
  4 in total

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