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Giuliani, Francesco; De Petris, Michele Pio
IRCCS Casa Sollievo della Sofferenza; San Giovanni Rotondo, FG, Italy
In the May 2008 issue of Epidemiology, a series of articles1 point to the limitations of the Thomson impact factor (IF), which was developed to assess journal relevance and is now unjustly being used to judge the quality of research and researchers. Other people have introduced novel (free and commercial) indicators but, nonetheless, the IF persists, as it appears so simple and has become so familiar. Recently, Los Alamos National Laboratory has launched MESUR2,3 (MEtrics from Scholarly Usage of Resources) to define and validate a range of usage-based metrics. Their method, based heavily on citation and usage data, has generated 46 metrics that provide a more-rounded view of a journal influence and prestige than the single value expressed by IF.
As the many shortcomings of IF become more apparent, the time has come for editors and scientists to consider a wider range of methods that rely on usage and social network analysis4 to judge journal and researcher relevance.
Michele Pio De Petris
IRCCS Casa Sollievo della Sofferenza
San Giovanni Rotondo, FG, Italy
This article has been cited 2 time(s).
© 2008 Lippincott Williams & Wilkins, Inc.
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