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On the use of biplot analysis for multivariate bibliometric and scientific indicators

Author

Listed:
  • Daniel Torres‐Salinas
  • Nicolás Robinson‐García
  • Evaristo Jiménez‐Contreras
  • Francisco Herrera
  • Emilio Delgado López‐Cózar

Abstract

Bibliometric mapping and visualization techniques represent one of the main pillars in the field of scientometrics. Traditionally, the main methodologies employed for representing data are multidimensional scaling, principal component analysis, or correspondence analysis. In this paper we aim to present a visualization methodology known as biplot analysis for representing bibliometric and science and technology indicators. A biplot is a graphical representation of multivariate data, where the elements of a data matrix are represented according to dots and vectors associated with the rows and columns of the matrix. In this paper, we explore the possibilities of applying biplot analysis in the research policy area. More specifically, we first describe and introduce the reader to this methodology and secondly, we analyze its strengths and weaknesses through 3 different case studies: countries, universities, and scientific fields. For this, we use a biplot analysis known as JK‐biplot. Finally, we compare the biplot representation with other multivariate analysis techniques. We conclude that biplot analysis could be a useful technique in scientometrics when studying multivariate data, as well as an easy‐to‐read tool for research decision makers.

Suggested Citation

  • Daniel Torres‐Salinas & Nicolás Robinson‐García & Evaristo Jiménez‐Contreras & Francisco Herrera & Emilio Delgado López‐Cózar, 2013. "On the use of biplot analysis for multivariate bibliometric and scientific indicators," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(7), pages 1468-1479, July.
    • Handle: RePEc:bla:jamist:v:64:y:2013:i:7:p:1468-1479
    DOI: 10.1002/asi.22837
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    1. Evangelia Tigka & Dimitrios Beslemes & Ioanna Kakabouki & Chrysanthi Pankou & Dimitrios Bilalis & Ioannis Tokatlidis & Dimitrios N. Vlachostergios, 2021. "Seed Rate and Cultivar Effect on Contribution of Vicia sativa L. Green Manure to Soil Amendment under Mediterranean Conditions," Agriculture, MDPI, vol. 11(8), pages 1-17, August.
    2. Mitzi Cubilla‐Montilla & Ana‐Belén Nieto‐Librero & Ma Purificación Galindo‐Villardón & Ma Purificación Vicente Galindo & Isabel‐María Garcia‐Sanchez, 2019. "Are cultural values sufficient to improve stakeholder engagement human and labour rights issues?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(4), pages 938-955, July.
    3. Díaz-Faes, Adrián A. & Costas, Rodrigo & Galindo, M. Purificación & Bordons, María, 2015. "Unravelling the performance of individual scholars: Use of Canonical Biplot analysis to explore the performance of scientists by academic rank and scientific field," Journal of Informetrics, Elsevier, vol. 9(4), pages 722-733.

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