2024-03-28T22:54:39Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1441652022-06-17T08:18:08Zcom_10261_10com_10261_7col_10261_263
DIGITAL.CSIC
author
Díaz-Faes, Adrián A.
author
Costas Comesaña, Rodrigo
author
Galindo, María Purificación
author
Bordons, María
orcid
Díaz-Faes, Adrián A. [0000-0003-1928-4608]
orcid
Bordons, María [0000-0002-1646-6804]
orcid
Costas Comesaña, Rodrigo [0000-0002-7465-6462]
2017-02-17T10:21:19Z
2017-02-17T10:21:19Z
2015-10-01
Journal of Informetrics 9 (4): 722‐733 (2015)
1751-1577
http://hdl.handle.net/10261/144165
10.1016/j.joi.2015.04.006
Individual research performance needs to be addressed by means of a diverse set of indicators
capturing the multidimensional framework of science. In this context, Biplot methods emerge as
powerful and reliable visualization tools similar to a scatterplot but capturing the multivariate
covariance structures among bibliometric indicators. In this paper, we introduce the Canonical
Biplot technique to explore differences in the scientific performance of Spanish CSIC
researchers, organised by field (Chemistry and Materials Science) and grouped by academic
rank (research fellows and three types of full-time permanent scientists). This method enables us
to build a Biplot where the groups of individuals are sorted out by the maximum discriminating
power between the different indicators considered. Besides, as confidence intervals are
displayed in the plot, statistical differences between groups are liable to be studied
simultaneously. Since test hypotheses are sensitive to different sample size effects, sizes for
some pairwise comparisons are computed. We have found two gradients: a primary gradient
where scientists mainly differ in terms of age, production, number of collaborators, number of
highly-cited papers and their position in the byline of the publications; and a second gradient, in
which scientists with the same academic rank differ by sort of field.
eng
openAccess
Canonical Biplot
Multivariate Analysis
Bibliometrics
Individual Level
Academic Rank
Unravelling the performance of individual scholars: use of Canonical Biplot analysis to explore the performance of scientists by academic rank and scientific field
artículo
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URL
https://digital.csic.es/bitstream/10261/144165/1/Canonical%20Biplot_JoI_post_print.pdf
File
MD5
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application/pdf
Canonical Biplot_JoI_post_print.pdf