HJ-Biplot as a tool for inspection of bibliometric data matrices
DOI:
https://doi.org/10.3989/redc.2013.1.988Keywords:
HJ-Biplot, multivariate analysis, bibliometrics, scientific collaboration, CSICAbstract
The aim of this paper is to demonstrate the usefulness of the HJ-Biplot in bibliometric studies. It is a simple and intuitive display, similar to a scatterplot, but capturing the multivariate covariance structures between bibliometric indicators. Their interpretation does not require specialized statistical knowledge, but merely to know how to interpret the length of a vector, the angle between two vectors and the distance between two points. With this aim, an analysis has been performed of the scientific output of CSIC's own centres as well as of joint centres during the period 2006-2009, in relation to a series of indicators based on impact and collaboration. Biplot methods are graphical representations of multivariate data. Using HJ-Biplot it is possible to interpret simultaneously the position of the centres, represented by dots; indicators, represented by vectors; and the relationships between them. The position of the centres in the context of their area as well as within the overall CSIC is analysed and those centres with a unique behaviour are identified. We conclude that the Humanities and Social Sciences, and Food Science and Technology are the areas with a greater homogeneous pattern in the performance of their centres, while Physics and Agriculture, are more heterogeneous.
Downloads
References
Abd el Kader, M.; Ojasoo, T.; Miquel, J.F.; Okubo, Y.; Doré, J.C. (1998). Hierarchical author networks: an analysis of European Molecular Biology Laboratory (EMBL) publications. Scientometrics, vol. 42 (3), 405-421. http://dx.doi.org/10.1007/BF02458379
Anuradha, K.T.; Urs, S.R. (2007). Bibliometric indicators of Indian research collaboration patterns: a correspondence analysis. Scientometrics, vol. 71 (2), 179-189. http://dx.doi.org/10.1007/s11192-007-1657-4
Benzécri, J.P. (1973). L'analyse de Données. Vol. 2. L'analyse des correspondances. Paris: Dunod.
Bordons, M.; Barrigón, S. (1992). Bibliometric analysis of publications of Spanish pharmacologists in the SCI (1984-1989) Part I. Scientometrics, vol. 25 (3), 425-446. http://dx.doi.org/10.1007/BF02016930
Bordons, M.; Bravo, C.; Barrigón, S. (2004). Time-tracking of the research profile of a drug using bibliometric tools. Journal of the American Society for Information Science and Technology, vol. 55 (5), 445-461. http://dx.doi.org/10.1002/asi.10397
Caballero-Juliá, D. (2011). El HJ-Biplot como herramienta en el análisis de grupos de discusión. Calidad de vida en la ludopatía: una propuesta sociológica. (Tesis de maestría). http://hdl.handle.net/10366/108778
Cárdenas, O.; Galindo, M.P.; Vicente-Villardón, J.L. (2007). Los métodos Biplot: evolución y aplicaciones. Revista Venezolana de Análisis de Coyuntura, vol. 13 (1), 279-303.
CSIC (2009). Spanish National Research Council. Annual Report 2009. Disponible en: http://www.csic.es/web/guest/memorias-digitales
Demey, J.R.; Vicente-Villardón, J.L.; Galindo-Villardón, M.P.; Zambrano, A.Y. (2008). Identifying molecular markers associated with classification of genotypes by External Logistic Biplots. Bioinformatics, vol. 24 (24), 2832-2838. http://dx.doi.org/10.1093/bioinformatics/btn552 PMid:18974073
Díaz-Faes, A.A.; Benito-García, N.; Martín-Rodero, H.; Vicente-Villardón, J.L. (2011). Propuesta de aplicabilidad del método multivariante gráfico Biplot a los estudios bibliométricos en biomedicina. Actas XIV Jornadas Nacionales de Información y Documentación en Ciencias de la Salud. Cádiz, Espa-a: Biblioteca Virtual del Sistema Sanitario Público de Andalucía. http://hdl.handle.net/10760/15998
Doré, J.C.; Dutheuil, C.; Miquel, J.F. (2000). Multidimensional analysis of trends in patent activity. Scientometrics, vol. 47 (3), 475-492. http://dx.doi.org/10.1023/A:1005667800235
Doré, J.C.; Ojasoo, T. (2001). How to analyze publication time trends by correspondence factor analysis: Analysis of publications by 48 countries in 18 disciplines over 12 years. Journal of the American Society for Information Science and Technology, vol. 52 (9), 763-769. http://dx.doi.org/10.1002/asi.1130
Doré, J.C.; Ojasoo, T.; Okubo, Y.; Durand, T.; Dudognon, G.; Miquel, J.F. (1996). Correspondence factor analysis of the publication patterns of 48 countries over the period 1981-1992. Journal of the American Society for Information Science, vol. 47 (8), 588-602. http://dx.doi.org/10.1002/(SICI)1097-4571(199608)47:8<588::AID-ASI3>3.0.CO;2-P
Faria, J.C.; Demetrio, C.G.B. (2011). BPCA: Biplot of multivariate data based on Principal Components Analysis [Programa informático]. ESALQ, USP, Brasil. http://cran.r-project.org/web/packages/bpca/citation.html
Frutos-Bernal, E.; Galindo, M.P. (2012). GGEBiplotGUI: Interactive GGE Biplots in R [Programa informático]. Salamanca, Espa-a: Departamento de Estadística, Universidad de Salamanca. http://cran.r-project.org/web/packages/GGEBiplotGUI/index.html
Gabriel, K.R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika, vol. 58 (3), 453-467. http://dx.doi.org/10.1093/biomet/58.3.453
Gabriel, K.R.; Odoroff, C.L. (1990). Biplots in biomedical research. Statistics in Medicine, vol. 9, 469-485. http://dx.doi.org/10.1002/sim.4780090502
Galindo, M.P. (1986). Una alternativa de representación simultánea: HJ-Biplot. Qüestioó, vol. 10 (1), 13-23.
Galindo, M.P.; Cuadras, C. (1986). Una extensión del método Biplot y su relación con otras técnicas. Publicaciones de Bioestadística y Biomatemática, 17. Barcelona: Universidad de Barcelona. PMCid:269031
Glänzel, W.; Schubert, A. (2001). Double effort = double impact A critical view at international co-authorship in chemistry. Scientometrics, vol. 50 (2), 199-214. http://dx.doi.org/10.1023/A:1010561321723
Gómez, I.; Bordons, M.; Morillo, F.; Moreno, L.; Aparicio, J.; Díaz-Faes, A.A.; González-Albo, B. (2011a). La actividad científica del CSIC a través de indicadores bibliométricos (Web of Science, 2006-2010). Madrid: IEDCYT, CCHS, CSIC. http://hdl.handle.net/10261/48118
Gómez, I.; Bordons, M.; Morillo, F.; Moreno, L.; González-Albo, B. (2011b). La actividad científica del CSIC: Indicadores de producción e impacto por tipo de colaboración (WoS, 2004-2009). Madrid: IEDCYT, CCHS, CSIC. http://hdl.handle.net/10261/38113
González-Albo, B.; Moreno, L.; Morillo, F.; Bordons, M. (2012). Indicadores bibliométricos para el análisis de la actividad de una institución multidisciplinar: el CSIC. Revista Espa-ola de Documentación Científica, vol. 35 (1), 9-37. http://dx.doi.org/10.3989/redc.2012.1.851
Miquel, J.F.; Ojasoo, T.; Okubo, Y.; Paul, A.; Doré, J.C. (1995). World science in 18 disciplinary areas: comparative evaluation of the publication patterns of 48 countries over the period 1981–1992. Scientometrics, vol. 33 (2), 149-167. http://dx.doi.org/10.1007/BF02020566
Moed, H.F. (2005). Citation analysis in research evaluation. Dordrecht, The Netherlands: Springer.
Morillo, F.; Aparicio, J.; González-Albo, B.; Moreno, L. (2013). Towards the automation of address identification. Scientometrics, vol. 94 (1), 207-224. DOI 10.1007/s11192-012-0733-6 http://dx.doi.org/10.1007/s11192-012-0733-6
Nagpaul, P.S. (1995). Contribution of Indian Universities to the mainstream scientific literature: a bibliometric assessment. Scientometrics, vol. 32 (1), 11-36. http://dx.doi.org/10.1007/BF02020186
Nieto-Librero, A.N.; Baccala, N.; Galindo, M.P. (2011). MultibiplotGUI: Multibiplot Analysis in R [Programa informático]. Salamanca, Espa-a: Departamento de Estadística, Universidad de Salamanca. http://cran.r-project.org/web/packages/multibiplotGUI/index.html
Okubo, Y.; Doré, J.C.; Ojasoo, T.; Miquel, J.F. (1998). A multivariate analysis of publication trends in the 1980s with special reference to South-East Asia. Scientometrics, vol. 41 (3), 273-289. http://dx.doi.org/10.1007/BF02459045
Pritchard, A. (1969). Statistical bibliography or bibliometrics Journal of Documentation, vol. 25, 348-349.
Sanz-Casado, E.; Conforti, N. (2005). Análisis de la actividad científica de la Facultad de Humanidades de la Universidad de Mar de Plata, durante el periodo 1998-2001. Revista Espa-ola de Documentación Científica, vol. 28 (2), 196-205.
Suárez-Balseiro, C.; García-Zorita, C.; Sanz-Casado, E. (2009). Multi-authorship and its impact on the visibility of research from Puerto Rico. Information Processing and Management, vol. 45, 469-476. http://dx.doi.org/10.1016/j.ipm.2009.03.001
Subramanyam, K. (1983). Bibliometric studies of research collaboration: a review. Journal of Information Science, vol. 6, 33-38. http://dx.doi.org/10.1177/016555158300600105
Vicente-Galindo, P.; Noronha-Vaz, T.; Nijkampd, P. (2011). Institutional capacity to dynamically innovate: an application to the Portuguese case. Technological Forecasting and Social Change, vol. 78 (1), 3-12. http://dx.doi.org/10.1016/j.techfore.2010.08.004
Vicente-Tavera, S. (1992). Las técnicas de representación de datos multidimensionales en el estudio del índice de producción industrial en la C.E.E.. Salamanca, Espa-a: Universidad de Salamanca, Departamento de Estadística. Tesis doctoral no publicada.
Vicente-Villardón, J.L.; Galindo-Villardón, M.P; Blázquez-Zaballos, A. (2006). Logistic Biplots. En: Greenacre, M.; Blasius, J. (editores). Multiple Correspondence Analysis and Related Methods. Londres: Chapman & Hall / CRC Press.
Vicente-Villardón, J.L. (2010). Multbiplot: a packaged for multivariate analysis using Biplots. (versión 1.0) [Programa informático]. Salamanca, Espa-a: Departamento de Estadística, Universidad de Salamanca. http://biplot.dep.usal.es/classicalbiplot/
Published
How to Cite
Issue
Section
License
Copyright (c) 2013 Consejo Superior de Investigaciones Científicas (CSIC)
This work is licensed under a Creative Commons Attribution 4.0 International License.
© CSIC. Manuscripts published in both the printed and online versions of this Journal are the property of Consejo Superior de Investigaciones Científicas, and quoting this source is a requirement for any partial or full reproduction.All contents of this electronic edition, except where otherwise noted, are distributed under a “Creative Commons Attribution 4.0 International” (CC BY 4.0) License. You may read here the basic information and the legal text of the license. The indication of the CC BY 4.0 License must be expressly stated in this way when necessary.
Self-archiving in repositories, personal webpages or similar, of any version other than the published by the Editor, is not allowed.
