RESUMO
INTRODUCTION: Scientometrics analyzes scientific publications through bibliometric and computational techniques, whereby productivity and impact indicators are generated. OBJECTIVE: To propose a multidimensional methodology in order to obtain the scientometric profile of the National Cancer Institute (INCan), Mexico, and rank it with regard to other national health institutions. METHOD: Using the LabSOM software and the ViBlioSOM methodology based on artificial neural networks, the INCan scientific production indexed in the Web of Science from 2007 to 2017 was analyzed. The multidimensional scientometric profile of the Institute was obtained and compared with that of other national health institutions. RESULTS: In terms of productivity, INCan ranks fourth among the 10 Mexican public health institutions indexed in the Web of Science; in the normalized impact ranking, it ranks sixth. Although out of 1323 articles 683 (51.62 %) did not receive citations, 11 articles classified as excellent (0.83 %) obtained 24 % of 11,932 citations and, consequently, INCan normalized impact rate showed a mean productivity higher than the world mean. CONCLUSION: Multidimensional analysis with the proposed neural network enables obtaining a more reliable and comprehensive absolute and relative institutional scientiometric profile than that derived from measuring isolated variables.
INTRODUCCIÓN: La cienciometría permite analizar la productividad e impacto de las publicaciones científicas mediante técnicas bibliométricas y computacionales. OBJETIVO: Proponer una metodología multidimensional para obtener el perfil cienciométrico del Instituto Nacional de Cancerología (INCan), México, y compararlo respecto a otras instituciones nacionales de salud. MÉTODO: Con el programa LabSOM y la metodología ViBlioSOM, basada en redes neuronales artificiales, se analizó la producción científica del INCan indexada en la Web of Science entre 2007 y 2017. Se obtuvo el perfil cienciométrico multidimensional del Instituto y se comparó con el de otras instituciones nacionales de salud. RESULTADOS: En productividad, el INCan ocupa el cuarto lugar de las 10 instituciones mexicanas de salud pública indexadas en la Web of Science.; en el ranking de impacto normalizado, el sexto lugar. Aun cuando de 1323 artículos, 683 (51.62 %) no recibieron citas, 11 artículos de excelencia (0.83 %) lograron 24 % de 11 932 citas y, consecuentemente, el impacto normalizado del INCan evidenció una productividad media por arriba de la media mundial. CONCLUSIÓN: El análisis multidimensional con la red neuronal propuesta permite obtener un perfil cienciométrico institucional absoluto y relativo más fidedigno e integral que el derivado de conteos de variables aisladas.
Assuntos
Academias e Institutos/estatística & dados numéricos , Bibliometria , Pesquisa Biomédica/estatística & dados numéricos , Oncologia/estatística & dados numéricos , Indexação e Redação de Resumos/estatística & dados numéricos , Academias e Institutos/classificação , Eficiência Organizacional/estatística & dados numéricos , México , Redes Neurais de ComputaçãoRESUMO
Resumen Introducción: La cienciometría permite analizar la productividad e impacto de las publicaciones científicas mediante técnicas bibliométricas y computacionales. Objetivo: Proponer una metodología multidimensional para obtener el perfil cienciométrico del Instituto Nacional de Cancerología (INCan), México, y compararlo respecto a otras instituciones nacionales de salud. Método: Con el programa LabSOM y la metodología ViBlioSOM, basada en redes neuronales artificiales, se analizó la producción científica del INCan indexada en la Web of Science entre 2007 y 2017. Se obtuvo el perfil cienciométrico multidimensional del Instituto y se comparó con el de otras instituciones nacionales de salud. Resultados: En productividad, el INCan ocupa el cuarto lugar de las 10 instituciones mexicanas de salud pública indexadas en la Web of Science.; en el ranking de impacto normalizado, el sexto lugar. Aun cuando de 1323 artículos, 683 (51.62 %) no recibieron citas, 11 artículos de excelencia (0.83 %) lograron 24 % de 11 932 citas y, consecuentemente, el impacto normalizado del INCan evidenció una productividad media por arriba de la media mundial. Conclusión: El análisis multidimensional con la red neuronal propuesta permite obtener un perfil cienciométrico institucional absoluto y relativo más fidedigno e integral que el derivado de conteos de variables aisladas.
Abstract Introduction: Scientometrics analyzes scientific publications through bibliometric and computational techniques, whereby productivity and impact indicators are generated. Objective: To propose a multidimensional methodology in order to obtain the scientometric profile of the National Cancer Institute (INCan), Mexico, and rank it with regard to other national health institutions. Method: Using the LabSOM software and the ViBlioSOM methodology based on artificial neural networks, the INCan scientific production indexed in the Web of Science from 2007 to 2017 was analyzed. The multidimensional scientometric profile of the Institute was obtained and compared with that of other national health institutions. Results: In terms of productivity, INCan ranks fourth among the 10 Mexican public health institutions indexed in the Web of Science; in the normalized impact ranking, it ranks sixth. Although out of 1323 articles 683 (51.62 %) did not receive citations, 11 articles classified as excellent (0.83 %) obtained 24 % of 11,932 citations and, consequently, INCan normalized impact rate showed a mean productivity higher than the world mean. Conclusion: Multidimensional analysis with the proposed neural network enables obtaining a more reliable and comprehensive absolute and relative institutional scientiometric profile than that derived from measuring isolated variables.
Assuntos
Bibliometria , Pesquisa Biomédica/estatística & dados numéricos , Academias e Institutos/estatística & dados numéricos , Oncologia/estatística & dados numéricos , Redes Neurais de Computação , Eficiência Organizacional/estatística & dados numéricos , Indexação e Redação de Resumos/estatística & dados numéricos , Academias e Institutos/classificação , MéxicoRESUMO
A recent assessment of 4400 postgraduate courses in Brazil by CAPES (a federal government agency dedicated to the improvement of the quality of and research at the postgraduate level) stimulated a large amount of manifestations in the press, scientific journals and scientific congresses. This gigantic effort to classify 16,400 scientific journals in order to provide indicators for assessment proved to be puzzling and methodologically erroneous in terms of gauging the institutions from a metric point of view. A simple algorithm is proposed here to weigh the scientometric indicators that should be considered in the assessment of a scientific institution. I conclude here that the simple gauge of the total number of citations accounts for both the productivity of scientists and the impact of articles. The effort spent in this exercise is relatively small, and the sources of information are fully accessible. As an exercise to estimate the value of the methodology, 12 institutions of physics (10 from Brazil, one from the USA and one from Italy) have been evaluated.
Assuntos
Humanos , Academias e Institutos/estatística & dados numéricos , Fator de Impacto de Revistas , Publicações Periódicas como Assunto/estatística & dados numéricos , Academias e Institutos/classificação , Brasil , Estudos de Viabilidade , Órgãos Governamentais , Publicações Periódicas como Assunto/classificação , Física/estatística & dados numéricos , Reprodutibilidade dos TestesRESUMO
A recent assessment of 4400 postgraduate courses in Brazil by CAPES (a federal government agency dedicated to the improvement of the quality of and research at the postgraduate level) stimulated a large amount of manifestations in the press, scientific journals and scientific congresses. This gigantic effort to classify 16,400 scientific journals in order to provide indicators for assessment proved to be puzzling and methodologically erroneous in terms of gauging the institutions from a metric point of view. A simple algorithm is proposed here to weigh the scientometric indicators that should be considered in the assessment of a scientific institution. I conclude here that the simple gauge of the total number of citations accounts for both the productivity of scientists and the impact of articles. The effort spent in this exercise is relatively small, and the sources of information are fully accessible. As an exercise to estimate the value of the methodology, 12 institutions of physics (10 from Brazil, one from the USA and one from Italy) have been evaluated.
Assuntos
Academias e Institutos/estatística & dados numéricos , Fator de Impacto de Revistas , Publicações Periódicas como Assunto/estatística & dados numéricos , Academias e Institutos/classificação , Brasil , Estudos de Viabilidade , Órgãos Governamentais , Humanos , Publicações Periódicas como Assunto/classificação , Física/estatística & dados numéricos , Reprodutibilidade dos TestesRESUMO
La Secretaria Nacional de Salud y la Fuerzas Armadas a través del Plan Instruccion Integral del soldado "Centinela de la salud", en el afán de contribuir al logro de los objetivos propuestos ha capacitado hasta el momento a 122.243 conscriptos, realizada en la gestión de 1995 con conocimientos básicos de salud y participación comunitaria. El objetivo del Plan es el de enriquecer el perfil de este ciudadano con la enseñanza del Módulo de Desarrollo Humano Integral