Refrain from adopting the combination of citation and journal metrics to grade publications, as used in the Italian national research assessment exercise (VQR 2011–2014)

The prediction of the long-term impact of a scientific article is challenging task, addressed by the bibliometrician through resorting to a proxy whose reliability increases with the breadth of the citation window. In the national research assessment exercises using metrics the citation window is necessarily short, but in some cases is sufficient to advise the use of simple citations. For the Italian VQR 2011–2014, the choice was instead made to adopt a linear weighted combination of citations and journal metric percentiles, with weights differentiated by discipline and year. Given the strategic importance of the exercise, whose results inform the allocation of a significant share of resources for the national academic system, we examined whether the predictive power of the proposed indicator is stronger than the simple citation count. The results show the opposite, for all discipline in the sciences and a citation window above 2 years.

[1]  L. Butler,et al.  Modifying publication practices in response to funding formulas , 2003 .

[2]  Giovanni Abramo,et al.  Allocative efficiency in public research funding: can bibliometrics help? , 2009, ArXiv.

[3]  Giuliano Franco,et al.  Il settore scientifico-disciplinare MED44 di fronte all’esercizio di valutazione della qualità della ricerca (VQR 2004-2010) dell’ANVUR: luci e ombre , 2013 .

[4]  Mike Thelwall,et al.  A combined bibliometric indicator to predict article impact , 2011, Inf. Process. Manag..

[5]  David I. Stern,et al.  High-Ranked Social Science Journal Articles Can Be Identified from Early Citation Information , 2014, PloS one.

[6]  Giovanni Abramo,et al.  The VQR, Italy's second national research assessment: Methodological failures and ranking distortions , 2015, J. Assoc. Inf. Sci. Technol..

[7]  Sergio Benedetto,et al.  Large-scale assessment of research outputs through a weighted combination of bibliometric indicators , 2016, Scientometrics.

[8]  L. Butler,et al.  Explaining Australia’s increased share of ISI publications—the effects of a funding formula based on publication counts , 2003 .

[9]  Giovanni Abramo,et al.  National research assessment exercises: the effects of changing the rules of the game during the game , 2011, Scientometrics.

[10]  魏屹东,et al.  Scientometrics , 2018, Encyclopedia of Big Data.

[11]  Tindaro Cicero,et al.  National peer-review research assessment exercises for the hard sciences can be a complete waste of money: the Italian case , 2013, Scientometrics.

[12]  Giovanni Abramo,et al.  Citations versus journal impact factor as proxy of quality: could the latter ever be preferable? , 2010, Scientometrics.

[13]  Giovanni Abramo,et al.  Inefficiency in selecting products for submission to national research assessment exercises , 2013, Scientometrics.

[14]  Giuseppe De Nicolao,et al.  Do they agree? Bibliometric evaluation versus informed peer review in the Italian research assessment exercise , 2015, Scientometrics.

[15]  Tindaro Cicero,et al.  The dangers of performance-based research funding in non-competitive higher education systems , 2011, Scientometrics.

[16]  G Franco.  [The scientific sector MED44 facing the task of assessing the quality of research (2004-2010) of the ANVUR (National Agency of Assessing University Research): lights and shadows]. , 2013, La Medicina del lavoro.