Bibliometric factors associated with h-index of Peruvian researchers with publications indexed on Web of Science and Scopus databases
Keywords:
Bibliometrics indicators, H-index, Peruvian researchers, Scientific productionAbstract
The objective of this article is: a) to identify Peruvian researchers with high, medium and low impact factor according to Web of
Science and Scopus databases; b) to identify the bibliometric factor with the highest influence on h-index of Peruvian researchers;
c) to compare h-index between Web of Science and Scopus, at an individual and institutional level. Data were collected from Web
of Science and Scopus (189 Peruvian researchers, 28 institutions on Web of Science and 33 on Scopus), between September 18-
23, 2013. Then, institutional registries were created and linear regression analysis with stepwise procedure was run to identify
bibliometric factors with higher influence on the h-index of Peruvian researchers. Web of Science and Scopus showed interesting
simmilarities in the h-index of Peruvian academic institutions. At individual level, documents indexed in citation database had the
highest influence on the h-index. Regression model identified bibliometric factors with higher influence on the h-index of Peruvian
researchers, however further large scale studies are needed to improve external validity.
Downloads
References
Abbott, A. et al. Do metrics matter? Nature, v.465, n.7300, p.860-862, 2010.
Aksnes, D.W. Characteristics of highly cited papers. Research Evaluation, n.12, p.159-170, 2003.
Archambault, E. et al. Comparing bibliometric statistics obtained from the Web of Science and Scopus. Journal of the American Society for Information Science and Technology, v.60, n.7, p.1320-1326, 2009.
Bornmann, L.; Daniel, H. Does the h-index for ranking of scientists really work? Scientometrics, v.65, n.3, p.391-392, 2005.
Bornmann, L.; Wallon, G.; Ledin, A. Is the h index related to (standard) bibliometric measures and to the assessments by peers? An investigation of the h index by using molecular life sciences data. Research Evaluation, n.17, p.149-156, 2008. doi:
3152/095820208X319166
Braun, T. et al. How to improve the use of metrics. Nature, v.465, n.17, p.870-872, 2010.
Burnham, J. Scopus database: A review. Biomedical Digital Libraries, v.3, n.8, p.1-8, 2006.
Costas, R.; Bordons, M. Una visión crítica del índice h: algunas consideraciones derivadas de su aplicación práctica. El Profesional de la Informacion, v.5, n.16, p.427-432, 2007. doi: 10.3145/epi.2007
Cronin, B.; Meho, L. Using the h-index to rank influential information scientists. Journal of the American Society for Information Science and Technology, v.57, n.9, p.1275-1278, 2006. doi:10.1002/asi.20354
Da Luz, M. et al. Institutional h-index: The performance of a new metric in the evaluation of Brazilian Psychiatric Post-graduation Programs. Scientometrics, v.77, n.2, p.361-368, 2008. doi: 10.1007/s11192-007-1964-9
Glänzel, W. Coauthorship patterns and trends in the sciences (1980-1998): A bibliometric study with implications for database indexing and search strategies. Library Trends, v.50, n.3, p.461-473, 2002.
Hirsch, J. An index to quantify an individual’s scientific research output. 2005. Available from: <http://arxiv.org/abs/physics/0508025>. Cited: Jul. 14, 2010.
Kelly, C.; Jennions, M. The h index and career assessment by numbers. Trends in Ecology & Evolution, n.21, p.167-170, 2006. doi: 10.1016/j.tree.2006.01.005
Lazaridis, T. Ranking university departments using the mean h-index. Scientometrics, v.82, n.2, p.211-216, 2009. doi: 10.1007/s11192-009-0048-4
Leimu, R.; Koricheva, J. Does scientific collaboration increase the impact of ecological articles? BioScience, v.55, n.5, p.438-443, 2005.
Molinari, J.; Molinari, A. A new methodology for ranking scientific institutions. Scientometrics, v.75, n.1, p.163-174, 2007. doi:10.1007/s11192-007-1853-2
Oppenheim, C. Using the h-index to rank influential British researchers in Information Science and Librarianship. Journal of the American Society for Information Science and Technology, v.58, n.10, p.297-301, 2007. doi: 10.1002/asi.20460
Rodríguez-Navarro, A.; Imperial-Rodenas, J. Índice h: guía para la evaluación de la investigación española en ciencia y tecnología utilizando el índice h. Madrid: Dirección General de Universidades e Investigación, 2006.
Sancho, R. Misjudgements and shortcomings in the measurement of scientific activities in less developed countries. Scientometrics, v.23, n.1, p.221-233, 1992.
Shrum, W. View from afar: ‘Visible’ productivity of scientists in the developing world. Scientometrics, v.40, n.2, p.215-235, 1997.
Speare, M. Environmental microbiology: A database coverage study. Science & Technology Libraries, v.29, n.1, p.1-15, 2010.
Spinak, E. Los análisis cuantitativos de la literatura científica y su validez para juzgar la producción latinoamericana. Boletín de la Oficina Sanitaria Panamericana, v.120, n.2, p.139-146, 1996.
Van Noorden, R. A profusion of measures. Nature, v.465, n.7300, p.864-866, 2010.
Van Raan, A. Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups. Scientometrics, v.67, n.3, p.491-502, 2006. doi: 10.1007/s11192-006-0066-4
Vieira, E.; Gomes, J. A comparison of Scopus and Web of Science for a typical university. Scientometrics, v.81, n.2, p.587-600, 2009.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Transinformação
This work is licensed under a Creative Commons Attribution 4.0 International License.