Your browser doesn't support javascript.
loading
A network analysis of research productivity by country, discipline, and wealth.
Jaffe, Klaus; Ter Horst, Enrique; Gunn, Laura H; Zambrano, Juan Diego; Molina, German.
Afiliación
  • Jaffe K; Universidad Simon Bolivar, Caracas, Venezuela.
  • Ter Horst E; Facultad de Administracion, Universidad de los Andes, Bogota, Colombia.
  • Gunn LH; Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America.
  • Zambrano JD; School of Public Health, Imperial College London, London, United Kingdom.
  • Molina G; Facultad de Administracion, Universidad de los Andes, Bogota, Colombia.
PLoS One ; 15(5): e0232458, 2020.
Article en En | MEDLINE | ID: mdl-32401823
INTRODUCTION: Research productivity has been linked to a country's intellectual and economic wealth. Further analysis is needed to assess the association between the distribution of research across disciplines and the economic status of countries. METHODS: By using 55 years of data, spanning 1962 to 2017, of Elsevier publications across a large set of research disciplines and countries globally, this manuscript explores the relationship and evolution of relative research productivity across different disciplines through a network analysis. It also explores the associations of those with economic productivity categories, as measured by the World Bank economic classification. Additional analysis of discipline similarities is possible by exploring the cross-country evolution of those disciplines. RESULTS: Results show similarities in the relative importance of research disciplines among most high-income countries, with larger idiosyncrasies appearing among the remaining countries. This group of high-income countries shows similarities in the dynamics of the relative distribution of research productivity over time, forming a stable research productivity cluster. Lower income countries form smaller, more independent and evolving clusters, and differ significantly from each other and from higher income countries in the relative importance of their research emphases. Country-based similarities in research productivity profiles also appear to be influenced by geographical proximity. CONCLUSIONS: This new form of analyses of research productivity, and its relation to economic status, reveals novel insights to the dynamics of the economic and research structure of countries. This allows for a deeper understanding of the role a country's research structure may play in shaping its economy, and also identification of benchmark resource allocations across disciplines for developing countries.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Investigación / Eficiencia Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Venezuela

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Investigación / Eficiencia Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Venezuela