Literature DB >> 28713181

Neophilia Ranking of Scientific Journals.

Mikko Packalen1, Jay Bhattacharya2.   

Abstract

The ranking of scientific journals is important because of the signal it sends to scientists about what is considered most vital for scientific progress. Existing ranking systems focus on measuring the influence of a scientific paper (citations)-these rankings do not reward journals for publishing innovative work that builds on new ideas. We propose an alternative ranking based on the proclivity of journals to publish papers that build on new ideas, and we implement this ranking via a text-based analysis of all published biomedical papers dating back to 1946. In addition, we compare our neophilia ranking to citation-based (impact factor) rankings; this comparison shows that the two ranking approaches are distinct. Prior theoretical work suggests an active role for our neophilia index in science policy. Absent an explicit incentive to pursue novel science, scientists underinvest in innovative work because of a coordination problem: for work on a new idea to flourish, many scientists must decide to adopt it in their work. Rankings that are based purely on influence thus do not provide sufficient incentives for publishing innovative work. By contrast, adoption of the neophilia index as part of journal-ranking procedures by funding agencies and university administrators would provide an explicit incentive for journals to publish innovative work and thus help solve the coordination problem by increasing scientists' incentives to pursue innovative work.

Entities:  

Year:  2016        PMID: 28713181      PMCID: PMC5506293          DOI: 10.1007/s11192-016-2157-1

Source DB:  PubMed          Journal:  Scientometrics        ISSN: 0138-9130            Impact factor:   3.238


  14 in total

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Authors:  David Adam
Journal:  Nature       Date:  2002-02-14       Impact factor: 49.962

2.  An index to quantify an individual's scientific research output.

Authors:  J E Hirsch
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-07       Impact factor: 11.205

3.  Analysis of a study of the users, uses, and future agenda of the UMLS.

Authors:  Yan Chen; Yehoshua Perl; James Geller; James J Cimino
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

4.  Journal impact factors, h indices, and citation analyses in toxicology.

Authors:  Steven B Bird
Journal:  J Med Toxicol       Date:  2008-12

5.  Atypical combinations and scientific impact.

Authors:  Brian Uzzi; Satyam Mukherjee; Michael Stringer; Ben Jones
Journal:  Science       Date:  2013-10-25       Impact factor: 47.728

6.  A Comprehensive Analysis of Five Million UMLS Metathesaurus Terms Using Eighteen Million MEDLINE Citations.

Authors:  Rong Xu; Mark A Musen; Nigam H Shah
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

Review 7.  Ranking games.

Authors:  Margit Osterloh; Bruno S Frey
Journal:  Eval Rev       Date:  2014-08-04

8.  Choosing experiments to accelerate collective discovery.

Authors:  Andrey Rzhetsky; Jacob G Foster; Ian T Foster; James A Evans
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-09       Impact factor: 11.205

9.  Citation analysis as a tool in journal evaluation.

Authors:  E Garfield
Journal:  Science       Date:  1972-11-03       Impact factor: 47.728

10.  Rising publication delays inflate journal impact factors.

Authors:  Adriano B L Tort; Zé H Targino; Olavo B Amaral
Journal:  PLoS One       Date:  2012-12-31       Impact factor: 3.240

View more
  1 in total

1.  Edge Factors: Scientific Frontier Positions of Nations.

Authors:  Mikko Packalen
Journal:  Scientometrics       Date:  2019-02-04       Impact factor: 3.238

  1 in total

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