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Leydesdorff L.,University of Amsterdam | De Moya-Anegon F.,SCImago Research Group | Guerrero-Bote V.P.,University of Extremadura
Journal of the American Society for Information Science and Technology | Year: 2010

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. © 2009 ASIS&T. Source

de Moya-Anegon F.,SCImago Research Group | Lopez-Illescas C.,University of Extremadura | Moed H.F.,Elsevier
Scientometrics | Year: 2014

This paper analyzes the positions of institutions from the private domain in bibliometric rankings of as many as 27,000 research institutions and highlights factors that are crucial for a proper interpretation of such positions. It was found that among the institutions with the largest output in terms of published research articles, private firms are underrepresented, whereas in the top quartile of institutions with the largest citation impact firms are overrepresented. A firm's publication output is not a good indicator of its R&D investment: big firms in Pharmaceutics are both heavy investors in R&D and frequent publishers of scientific articles, whereas in Automobiles firms tend to invest heavily in R&D but their publication output is low. This is ascribed to the fact that the former need a validation of their results by the scientific community, while the latter do less so. Private institutions generating the largest citation impact tend to collaborate with the best public research institutions. This reflects the crucial importance of publicly funded research for the private sector. © 2013 Akadémiai Kiadó, Budapest, Hungary. Source

Bustos-Gonzalez A.,Pontifical Catholic University of Valparaiso | Bustos-Gonzalez A.,SCImago Research Group
Revista Medica de Chile | Year: 2013

During the year 2012, 539 manuscripts were submitted to this journal, following an increasing trend in the recent decade. Rejection rate was 33%. This higher number of submissions demanded a larger number and wider scope of external reviews, retarding the editorial process. The mean time lapse from reception to acceptance (or rejection) was 6.3 months (range 2-14) and from acceptance to publication 5.3 months (range 3-7). Research articles were 43.9% of published manuscripts and the remaining articles were Reviews, Special Articles, Case Reports, articles on Medical Ethics, Medical Education, Evidence Based Medicine, Public Health, History of Medicine, Letters to the Editor and others. Thirty seven published manuscripts (14.6%) came from foreign countries and 9 of them were published with full text in English. The 2012 Impact Factor was 0.360, showing little variation from previous years, locating the journal in the upper part of quartil 4 in the ISI-JCR category "Medicine, General and Internal", while the SCImago Journal & Country Rank locates the Revista in quartil 2 of its category "Medicine (miscellaneous)". In contrast with the low citation rate, the number of visits to the open access electronic version in www.scielo. cl averages over 3 million visits per year, illustrating that the interest among readers outnumbers the country's expectable readership. Only 22% of articles declared to have received financial help from entities external to the institution where the work was performed, coming mainly from Chilean Governmental competitive funds. The aim of Revista Médica de Chile is to provide readers and authors a valuable source of information about current relevant topics in general and internal medicine, progress in related specialties and updates in basic sciences, rendering them available to Health professionals in Chile and worldwide, following international standards of ethical and scientific quality in medical publications. Source

Chinchilla-Rodriguez Z.,Institute Politicas y Bienes Publicos CSIC IPP | Chinchilla-Rodriguez Z.,SCImago Research Group | Arencibia-Jorge R.,CSIC - National Center for Metallurgical Research | Arencibia-Jorge R.,SCImago Research Group | And 4 more authors.
Scientometrics | Year: 2015

Cuban scientific output is analyzed for the period 2003–2011, in Scopus database. Based on a set of bibliometric indicators, we try to shed light on the evolution of the volume of scientific output in Cuban and foreign journals, and its distribution and visibility by quartiles. Also analyzed is the citation per document received, broken down by language of publication and type of collaboration. The results reveal patterns and strategies of expansion in scientific communication that may be useful for academic and institutional decision-makers, suggesting means of amending editorial policy to improve scientific quality and international diffusion of output. It is hoped that these results will spur debate about research policies and actions to be taken to enhance the quality of research. © 2015 Akadémiai Kiadó, Budapest, Hungary Source

Gomez-Nunez A.J.,SCImago Research Group Associated Unit | Batagelj V.,University of Ljubljana | Vargas-Quesada B.,University of Granada | Vargas-Quesada B.,SCImago Research Group | And 4 more authors.
Journal of Informetrics | Year: 2014

Subject classification arises as an important topic for bibliometrics and scientometrics, searching to develop reliable and consistent tools and outputs. Such objectives also call for a well delimited underlying subject classification scheme that adequately reflects scientific fields. Within the broad ensemble of classification techniques, clustering analysis is one of the most successful.Two clustering algorithms based on modularity - the VOS and Louvain methods - are presented here for the purpose of updating and optimizing the journal classification of the SCImago Journal & Country Rank (SJR) platform. We used network analysis and Pajek visualization software to run both algorithms on a network of more than 18,000 SJR journals combining three citation-based measures of direct citation, co-citation and bibliographic coupling. The set of clusters obtained was termed through category labels assigned to SJR journals and significant words from journal titles.Despite the fact that both algorithms exhibited slight differences in performance, the results show a similar behaviour in grouping journals. Consequently, they are deemed to be appropriate solutions for classification purposes. The two newly generated algorithm-based classifications were compared to other bibliometric classification systems, including the original SJR and WoS Subject Categories, in order to validate their consistency, adequacy and accuracy. In addition to some noteworthy differences, we found a certain coherence and homogeneity among the four classification systems analysed. © 2014 Elsevier Ltd. Source

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