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Characterization of the Cuban biopharmaceutical industry from collaborative networks

Author

Listed:
  • Maria Victoria Guzmán-Sánchez

    (Finlay Institute of Vaccines. BioCubaFarma)

  • Maybel Piñón-Lora

    (Autonomous University of Mexico City (UACM))

  • Elio Atenógenes Villaseñor-García

    (Center of Research and Innovation in Information and Communication Technologies (INFOTEC))

  • José Luis Jiménez-Andrade

    (National Autonomous University of Mexico (UNAM))

  • Humberto Carrillo-Calvet

    (National Autonomous University of Mexico (UNAM))

Abstract

Studies of scientific collaboration have introduced the concepts of collaborative networks. These networks may represent the social structure of a community of researchers or knowledge transmission in a specific country or economic sector. Cuban biopharmaceutical industry is an exceptional case study. This high-tech sector has achieved important development in the context of a “Third World” country, with a different political organization from the rest of the world. The main goal of this work is to characterize the Cuban biotechnology industry using collaborative networks. WoS database (1969–2016) was used and metric indicators of scientific collaboration obtained from the affiliation field. Netlike visualizations were produced with NodeXL software. BioCubaFarma meets about 50% of the total scientific production of all Cuban sectors. Since its foundation, the sector has maintained significant internal and external collaboration, with Europe, Latin America and the United States of America. The United States collaboration has been significant in the absence of diplomatic relations with that country. Collaboration is greater among centers of the old “scientific pole” than among old companies of the pharmaceutical sector. Moreover, there is a correlation between the magnitude of the scientific production and the collaboration levels. For the development of biomedicine in Cuba, collaboration has not been solely endogenous but has also represented a significant transfer of knowledge between Cuba and other countries.

Suggested Citation

  • Maria Victoria Guzmán-Sánchez & Maybel Piñón-Lora & Elio Atenógenes Villaseñor-García & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2018. "Characterization of the Cuban biopharmaceutical industry from collaborative networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1533-1548, June.
    • Handle: RePEc:spr:scient:v:115:y:2018:i:3:d:10.1007_s11192-018-2719-5
    DOI: 10.1007/s11192-018-2719-5
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    References listed on IDEAS

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    1. Hanna Hottenrott & Cornelia Lawson, 2017. "A first look at multiple institutional affiliations: a study of authors in Germany, Japan and the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 285-295, April.
    2. Wolfgang Glänzel & András Schubert, 2003. "A new classification scheme of science fields and subfields designed for scientometric evaluation purposes," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 357-367, March.
    3. F. Moya-Anegón & V. Herrero-Solana, 1999. "Science in america latina: A comparison of bibliometric and scientific-technical indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(2), pages 299-320, October.
    4. Henk F. Moed & Gali Halevi, 2014. "A bibliometric approach to tracking international scientific migration," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1987-2001, December.
    5. Ricardo Arencibia-Jorge & Elena Corera-Alvarez & Zaida Chinchilla-Rodríguez & Félix Moya-Anegón, 2016. "Scientific output of the emerging Cuban biopharmaceutical industry: a scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1621-1636, September.
    6. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    7. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    8. Wolfgang Glänzel & Sarah Heeffer & Bart Thijs, 2016. "A triangular model for publication and citation statistics of individual authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 857-872, May.
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    Cited by:

    1. Ernesto Galbán-Rodríguez & Déborah Torres-Ponjuán & Yohannis Martí-Lahera & Ricardo Arencibia-Jorge, 2019. "Measuring the Cuban scientific output in scholarly journals through a comprehensive coverage approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1019-1043, November.

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