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Moya-Anegon F.,Scimago Group | Herrero-Solana V.,University of Granada
PLoS ONE | Year: 2013

Background: 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. Methodology/Principal Findings: 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 and 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. Conclusions/Significance: As we have seen, insofar as scientific output and publication in journals of international visibility is concerned, the countries of the world may be classified into three main groups according to their thematic profile. These groups can be described in terms of behavioral models that attempt to sum up the characteristics of their systems of knowledge and innovation. Copyright: © 2013 Moya-Anegón, Herrero-Solana. Source


Guerrero-Bote V.P.,University of Extremadura | Olmeda-Gomez C.,Charles III University of Madrid | Moya-Anegon F.,Scimago Group
LWT - Food Science and Technology | Year: 2016

Bibliometric indicators are used to characterize the research activity of institutions worldwide with production in the period 2003-2013 in journals that are indexed in Scopus's Food Science thematic category. Basic, normalized indicators were used to compare the institutions' performances, together with highly cited papers (top-10% and top-1%). An interactive map was generated, displaying the 645 institutions with at least 100 documents produced during this period. The greatest numbers of those institutions are in the United States, South Korea, Spain, and China. National collaboration networks were detected on the East and West Coasts of the United States, and in Canada, Ireland, France, Spain, Holland, Denmark, China, South Korea, Malaysia, Brazil, India, Argentina, and Nigeria. There was no significant research activity in many developing and food exporting countries located in sub-Saharan Africa, North and East Africa, the Middle East, Latin America, the Caribbean, Eastern Europe, Central Asia, and South East Asia. The need to take into account other criteria based on qualitative attributes and the inherent limitations in the bibliometric indicators are discussed. © 2015 Elsevier Ltd. Source


Guerrero-Bote V.P.,University of Extremadura | Moya-Anegon F.,Scimago Group
Journal of Informetrics | Year: 2012

A new size-independent indicator of scientific journal prestige, the SJR2 indicator, is proposed. This indicator takes into account not only the prestige of the citing scientific journal but also its closeness to the cited journal using the cosine of the angle between the vectors of the two journals' cocitation profiles. To eliminate the size effect, the accumulated prestige is divided by the fraction of the journal's citable documents, thus eliminating the decreasing tendency of this type of indicator and giving meaning to the scores. Its method of computation is described, and the results of its implementation on the Scopus 2008 dataset is compared with those of an ad hoc Journal Impact Factor, JIF(3y), and SNIP, the comparison being made both overall and within specific scientific areas. All three, the SJR2 indicator, the SNIP indicator and the JIF distributions, were found to fit well to a logarithmic law. Although the three metrics were strongly correlated, there were major changes in rank. In addition, the SJR2 was distributed more equalized than the JIF by Subject Area and almost as equalized as the SNIP, and better than both at the lower level of Specific Subject Areas. The incorporation of the cosine increased the values of the flows of prestige between thematically close journals. © 2012 Elsevier Ltd. Source


Moya-Anegon F.,Scimago Group | Guerrero-Bote V.P.,University of Extremadura | Bornmann L.,Max Planck Innovation | Moed H.F.,Elsevier
Scientometrics | Year: 2013

We propose a method for selecting the research guarantor when papers are co-authored. The method is simply based on identifying the corresponding author. The method is here applied to global scientific output based on the SCOPUS database in order to build a new output distribution by country. This new distribution is then compared with previous output distributions by country but which were based on whole or fractional counting, not only for the total output but also for the excellence output (papers belonging to the 10 % most cited papers). The comparison allows one to examine the effect of the different methodological approaches on the scientific performance indicators assigned to countries. In some cases, there was a very large variation in scientific performance between the total output (whole counting) and output as research guarantor. The research guarantor approach is especially interesting when used with the excellence output where the quantity of excellent papers is also a quality indicator. The impact of excellent papers naturally has less variability as they are all top-cited papers. © 2013 Akadémiai Kiadó, Budapest, Hungary. Source


Gonzalez-Pereira B.,SRG SCImago Research Group | Guerrero-Bote V.P.,University of Extremadura | Moya-Anegon F.,Scimago Group
Journal of Informetrics | Year: 2010

A size-independent indicator of journals scientific prestige, the SCImago Journal Rank (SJR) indicator, is proposed that ranks scholarly journals based on citation weighting schemes and eigenvector centrality. It is designed for use with complex and heterogeneous citation networks such as Scopus. Its computation method is described, and the results of its implementation on the Scopus 2007 dataset is compared with those of an ad hoc Journal Impact Factor, JIF(3y), both generally and within specific scientific areas. Both the SJR indicator and the JIF distributions were found to fit well to a logarithmic law. While the two metrics were strongly correlated, there were also major changes in rank. In addition, two general characteristics were observed. On the one hand, journals' scientific influence or prestige as computed by the SJR indicator tended to be concentrated in fewer journals than the quantity of citation measured by JIF(3y). And on the other, the distance between the top-ranked journals and the rest tended to be greater in the SJR ranking than in that of the JIF(3y), while the separation between the middle and lower ranked journals tended to be smaller. © 2010 Elsevier Ltd. Source

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