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Abstract

Using the Scopus dataset (1996-2007) a grand matrix of aggregated journal-journal citations was constructed. This matrix can be compared in terms of the network structures with the matrix contained in the Journal Citation Reports (JCR) of the Institute of Scientific Information (ISI). Because the Scopus database contains a larger number of journals and covers the humanities, one would expect richer maps. However, the matrix is in this case sparser than in the case of the ISI data. This is because of (a) the larger number of journals covered by Scopus and (b) the historical record of citations older than 10 years contained in the ISI database. When the data is highly structured, as in the case of large journals, the maps are comparable, although one may have to vary a threshold (because of the differences in densities). In the case of interdisciplinary journals and journals in the social sciences and humanities, the new database does not add a lot to what is possible with the ISI databases.

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Abstract

Bibliometric techniques and social network analysis are used to define the patterns of international medical research in Latin America and the Caribbean based on information available in the Scopus database. The objective was to ascertain countries' capacity to establish intra- and extraregional scientific collaboration. The results show that increased output and citations in medical research have heightened the region's presence and participation in the international scientific arena. These findings may be partly influenced by the inclusion of new journals in the database and regional initiatives that may have enhanced collaboration and knowledge transfer in science. The overall rise in partnering rates is slightly greater intra- than extraregionally. The possible effect of geographic, idiomatic, and cultural proximity is likewise identified. The "scientific dependence" of small or developing countries would explain their high collaboration rates and impact. The evidence shows that the most productive countries draw from knowledge generated domestically or by their neighbors, which would explain why impact is so highly concentrated in the regions with the greatest output. The need to incentivize intraregional relationships must be stressed, although international initiatives should also be supported.