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Models for the production of knowledge and systems of innovation and science are key elements for characterizing a country in view of its scientific thematic profile. With regard to scientific output and publication in journals of international visibility, the countries of the world may be classified into three main groups according to their thematic bias. This paper aims to classify the countries of the world in several broad groups, described in terms of behavioural models that attempt to sum up the characteristics of their systems of knowledge and innovation. We perceive three clusters in our analysis: 1) the biomedical cluster, 2) the basic science & engineering cluster, and 3) the agricultural cluster. The countries are conceptually associated with the clusters via Principal Component Analysis (PCA), and a Multidimensional Scaling (MDS) map with all the countries is presented.
21 pages, 2 figures, 7 tables
FOS: Computer and information sciences, Science, Research, Q, R, FOS: Physical sciences, Physics and Society (physics.soc-ph), Physics and Society, Collaboration, Digital Libraries, Medicine, Indicators, Digital Libraries (cs.DL), Periodicals as Topic, Research Article
FOS: Computer and information sciences, Science, Research, Q, R, FOS: Physical sciences, Physics and Society (physics.soc-ph), Physics and Society, Collaboration, Digital Libraries, Medicine, Indicators, Digital Libraries (cs.DL), Periodicals as Topic, Research Article
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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| downloads | 21 |

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