![]() Analogously, the analysis confirms that productivity is strongly affected by the publication and citation practices adopted in different scientific disciplines. As to the personal observable characteristics of the researchers, the results emphasize the age effect and the gender productivity gap-as previously documented by existing studies. In this setting, the goodness-of-fit of several Poisson mixture regression models are explored by assuming an extensive set of explanatory variables. The corresponding distributions are highly skewed and display an excess of zero-valued observations. Three different indicators-based on the number of publications and/or citations-are considered as response variables. ![]() The dataset includes 942 permanent researchers of various scientific sectors for a 3-year time-span (2008–2010). ![]() An original cross-sectional dataset referring to a medium-sized Italian university is implemented in order to analyze the determinants of scientific research production at individual level. ![]()
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