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Article: The generational gap of science - a dynamic cluster analysis of doctorates in an evolving scientific system

TitleThe generational gap of science - a dynamic cluster analysis of doctorates in an evolving scientific system
Authors
Issue Date2015
Citation
Scientometrics, 2015 How to Cite?
AbstractThe features of science and technology (S&T) systems change over time. Simultaneously, at an individual level, the characteristics of actors in these systems also change concomitantly. In this study, the characteristics of doctorates in a changing S&T system are analyzed. This is performed by a series of cluster analyses on doctorates—with the goal of identifying shifting profiles—in strategic periods spanning three decades, which represents milestones in an evolving S&T system. A series of archetypal profiles of doctorates are identified, including changes to the relative weights of each of them, along with a pattern of alternating convergence and divergence over time on the characteristics of these doctorates.
Persistent Identifierhttp://hdl.handle.net/10722/211999

 

DC FieldValueLanguage
dc.contributor.authorSantos, J.M.-
dc.contributor.authorAlves Horta, HD-
dc.date.accessioned2015-07-21T02:19:01Z-
dc.date.available2015-07-21T02:19:01Z-
dc.date.issued2015-
dc.identifier.citationScientometrics, 2015-
dc.identifier.urihttp://hdl.handle.net/10722/211999-
dc.description.abstractThe features of science and technology (S&T) systems change over time. Simultaneously, at an individual level, the characteristics of actors in these systems also change concomitantly. In this study, the characteristics of doctorates in a changing S&T system are analyzed. This is performed by a series of cluster analyses on doctorates—with the goal of identifying shifting profiles—in strategic periods spanning three decades, which represents milestones in an evolving S&T system. A series of archetypal profiles of doctorates are identified, including changes to the relative weights of each of them, along with a pattern of alternating convergence and divergence over time on the characteristics of these doctorates.-
dc.languageeng-
dc.relation.ispartofScientometrics-
dc.titleThe generational gap of science - a dynamic cluster analysis of doctorates in an evolving scientific system-
dc.typeArticle-
dc.identifier.emailAlves Horta, HD: horta@hku.hk-
dc.identifier.authorityAlves Horta, HD=rp01959-
dc.identifier.doi10.1007/s11192-015-1558-x-
dc.identifier.hkuros244837-

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