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The colors of biotechnology in Venezuela: A bibliometric analysis

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  • De la Vega, Iván
  • Requena, Jaime
  • Fernández-Gómez, Rodolfo

Abstract

The background of biotechnology and its different specialty fields is assessed from a bibliometrics perspective, in a developing country within the Latin American region; Venezuela. As methodology we adopted a specialty coding by colors, a technique referred to as ‘rainbow’ proposed by DaSilva in 2004. The study was limited to publications from Venezuelan institutions in the period comprised within 1970 and 2010. The documentary information was retrieved from a database built for studies of this kind, referred to as Biblios. This database consolidates most bibliographic references related to Venezuelan publications spread among major international and domestic databases. Strengths shown by this database include, among others, the fact that each entry has been assigned the relevant code as set by the UNESCO nomenclature for fields of science and technology. By correlating the rainbow coding against the UNESCO coding we have been able to evidence that although biotechnology represents a third of national capacities in sciences and technology, current Venezuelan capacities only include 5 of the 15 colors in rainbow.

Suggested Citation

  • De la Vega, Iván & Requena, Jaime & Fernández-Gómez, Rodolfo, 2015. "The colors of biotechnology in Venezuela: A bibliometric analysis," Technology in Society, Elsevier, vol. 42(C), pages 123-134.
    • Handle: RePEc:eee:teinso:v:42:y:2015:i:c:p:123-134
    DOI: 10.1016/j.techsoc.2015.03.007
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    References listed on IDEAS

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    1. Jaime Requena, 2005. "Dynamics of the modern Venezuelan research community profile," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(1), pages 95-130, October.
    2. Bisang, Roberto & Campi, Mercedes & Cesa, Verónica, 2009. "Biotecnología y desarrollo," Documentos de Proyectos 3650, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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    Cited by:

    1. Hajkowicz, Stefan & Sanderson, Conrad & Karimi, Sarvnaz & Bratanova, Alexandra & Naughtin, Claire, 2023. "Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021," Technology in Society, Elsevier, vol. 74(C).
    2. Yin, Xicheng & Wang, Hongwei & Wang, Wei & Zhu, Kevin, 2020. "Task recommendation in crowdsourcing systems: A bibliometric analysis," Technology in Society, Elsevier, vol. 63(C).

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