Artigo em revista científica Q1
The generational gap of science: a dynamic cluster analysis of doctorates in an evolving scientific system
João Santos (Santos, J. M.); Hugo Horta (Horta, H.);
Título Revista
Scientometrics
Ano
2015
Língua
Inglês
País
Países Baixos (Holanda)
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Abstract/Resumo
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.
Agradecimentos/Acknowledgements
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Palavras-chave
Doctorates,Dynamic cluster analysis,Pathway analysis,Post-doctorates,Profile of doctorates
  • Ciências da Computação e da Informação - Ciências Naturais
  • Ciências da Comunicação - Ciências Sociais