Bibliometric factors associated with h-index of Peruvian researchers with publications indexed on Web of Science and Scopus databases

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 esearchers; 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 1823, 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.本研究的研究目的如下：a）依据Web of Science与Scopus数据库，甄别出高、中、低影响力的秘鲁研究者；b）明确对秘鲁研究者h指数（h-index）影响最为显著的文献计量学因子；c）在个体与机构两个层面，对比Web of Science与Scopus数据库中的h指数差异。本研究数据采集自Web of Science与Scopus数据库，共纳入189名秘鲁研究者，其中Web of Science覆盖28家机构，Scopus覆盖33家机构，数据采集时段为2013年9月。随后，研究人员构建了机构登记数据库，并开展逐步线性回归分析，以识别对秘鲁研究者h指数影响更高的文献计量学因子。研究结果显示，Web of Science与Scopus数据库在秘鲁学术机构的h指数方面展现出值得关注的相似性；在个体层面，引文数据库收录的文献数量对h指数的影响最为突出。本研究的回归模型成功识别出了对秘鲁研究者h指数影响更高的文献计量学因子，但仍需开展进一步的大规模研究以提升其外部效度。