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Worldwide Topology of the Scientific Subject Profile: A Macro Approach in the Country Level

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  • Félix Moya-Anegón
  • Víctor Herrero-Solana

Abstract

Background: Models for the production of knowledge and systems of innovation and science are key elements for characterizing a country in view of its scientific thematic profile. With regard to scientific output and publication in journals of international visibility, the countries of the world may be classified into three main groups according to their thematic bias. Methodology/Principal Findings: This paper aims to classify the countries of the world in several broad groups, described in terms of behavioural models that attempt to sum up the characteristics of their systems of knowledge and innovation. We perceive three clusters in our analysis: 1) the biomedical cluster, 2) the basic science & engineering cluster, and 3) the agricultural cluster. The countries are conceptually associated with the clusters via Principal Component Analysis (PCA), and a Multidimensional Scaling (MDS) map with all the countries is presented. Conclusions/Significance: As we have seen, insofar as scientific output and publication in journals of international visibility is concerned, the countries of the world may be classified into three main groups according to their thematic profile. These groups can be described in terms of behavioral models that attempt to sum up the characteristics of their systems of knowledge and innovation.

Suggested Citation

  • Félix Moya-Anegón & Víctor Herrero-Solana, 2013. "Worldwide Topology of the Scientific Subject Profile: A Macro Approach in the Country Level," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-1, December.
    • Handle: RePEc:plo:pone00:0083222
    DOI: 10.1371/journal.pone.0083222
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    Cited by:

    1. Confraria, Hugo & Mira Godinho, Manuel & Wang, Lili, 2017. "Determinants of citation impact: A comparative analysis of the Global South versus the Global North," Research Policy, Elsevier, vol. 46(1), pages 265-279.
    2. Chi Mai Nguyen & Jae-Yong Choung, 2020. "Scientific knowledge production in China: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1279-1303, August.
    3. Jielan Ding & Per Ahlgren & Liying Yang & Ting Yue, 2018. "Disciplinary structures in Nature, Science and PNAS: journal and country levels," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1817-1852, September.
    4. Richard Klavans & Kevin W Boyack, 2017. "The Research Focus of Nations: Economic vs. Altruistic Motivations," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-27, January.

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