[Analysis of scientific production and bibliometric impact of a group of Spanish clinical researchers]

An Sist Sanit Navar. 2016 Mayo-Agosto;39(2):213-25. doi: 10.23938/ASSN.0272.
[Article in Spanish]

Abstract

Background: To study the behaviour of several indicators of scientific production and repercussion in a group of Spanish clinical researchers and to evaluate their possible utility for interpreting individual or collective scientific pathways.

Method: We performed a unicentric, ecological pilot study involving a group of physicians with consolidated research experience. From the Science Citation Index Expanded (SCI-Expanded) database, we obtained the number of publications of each author (indicator of production) and the number of citations, impact factor and h index (indicators of repercussion). These indicators were calculated individually for each of the years of research experience and we assessed the relationship between the experience of the researcher and the value of the indicator achieved, the relationship between these indicators themselves, and their temporal evolution, both individually and for the entire group.

Results: We analysed 35 researchers with a research experience of 28.4 (9.6) years. The h index showed the lowest coefficient of variance. The relationship between the indicators and research experience was significant, albeit modest (R2 between 0.15-0.22). The 4 indicators showed good correlations. The temporal evolution of the indicators, both individual and collective, adjusted better to a second grade polynomial than a linear function: individually, all the authors obtained R2>0.90 in all the indicators; together the best adjustment was produced with the h index (R2=0.61). Based on the indicator used, substantial variations may be produced in the researchers' ranking.

Conclusions: A model of the temporal evolution of the indicators of production and repercussion can be described in a relatively homogeneous sample of researchers and the h index seems to demonstrate certain advantages compared to the remaining indicators. This type of analysis could become a predictive tool of performance to be achieved not only for a particular researcher, but also for a homogeneous group of resear-chers corresponding to a specific scientific niche.

MeSH terms

  • Bibliometrics*
  • Biomedical Research*
  • Journal Impact Factor*
  • Pilot Projects
  • Publishing / statistics & numerical data*
  • Research Personnel
  • Spain