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

João M. Santos and Hugo Horta ()
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João M. Santos: University of Lisbon
Hugo Horta: The University of Hong Kong

Scientometrics, 2015, vol. 104, issue 1, No 17, 406 pages

Abstract: Abstract The 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.

Keywords: Dynamic cluster analysis; Doctorates; Profile of doctorates; Pathway analysis; Post-doctorates (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11192-015-1558-x

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