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                    [0] => Factores predictivos de baja productividad científica en docentes de la Facultad de Ciencias Médicas de Camagüey@es
                    [1] => Predictive factors of low scientific productivity in teachers of the Faculty of Medical Sciences of Camagüey@en
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                    [0] => Introducción: Las universidades cubanas deben procurar mayor visibilidad de los resultados científicos. Ello constituye un aspecto clave en los programas de posgrado. En este sentido, la visibilidad de la producción científica es esencial en la reputación científica y el prestigio de una universidad/facultad o investigador.Objetivo: Determinar los factores predictivos de baja productividad científica en los docentes de la Facultad de Ciencias Médicas, de la Universidad de Ciencias Médicas de Camagüey durante el período 2016-2020.Métodos: Estudio analítico de caso control en 204 docentes. Se confeccionó una encuesta a partir de los factores identificados en la literatura nacional e internacional. Para determinar la significación de la asociación estadística entre la no publicación científica de los profesores y las diferentes variables, se aplicó la prueba ji al cuadrado. En el caso de las variables cuantitativas se utilizó la T de Student, así como la regresión logística. La evaluación de la capacidad predictiva se efectuó por la curva de características operacionales del receptor.Resultados: Las variables con mayor capacidad predictiva fueron: no ser miembro de una sociedad científica, la no premiación, no acceso a bases de datos bibliográficas; no recibir cursos sobre redacción científica, metodología de la investigación y estilos bibliográficos.Conclusiones: Al identificar la función de regresión logística, se predijo la probabilidad de baja producción científica; la curva permitió validar el modelo obtenido, con buena capacidad predictiva, para anticipar el desenlace de baja productividad en los docentes.@es
                    [1] => Introduction: The Cuban universities must seek greater visibility of scientific results. It is a key aspect in postgraduate programs, in this sense the visibility of scientific production is essential in the scientific reputation and prestige of a university/faculty or researcher.Objective: With the objective of determining the predictive factors of low scientific productivity in the teachers of the Faculty of Medical Sciences, of the University of Medical Sciences of Camagüey during the last five years, an analytical study of case control was carried out in the 204 teachers of the aforementioned faculty. The source of information were the related factors existing in the national and international literature, through which a survey was made. The data was processed in a computerized way to determine the significance of the statistical association between the non-scientific publication of the professors and the different variables, the Chi Square test was applied. In the case of quantitative variables, Student´s T test was used, as well as logistic regression.Results: The evaluation of the predictive capacity was carried out by the Receiver Operational Characteristics Curve. The variables with the greatest predictive capacity were: not being a member of a scientific society, no award, no access to bibliographic databases; not receive courses on Scientific Writing, Research Methodology and Bibliographic Styles.Conclusions: It was concluded that by identifying the Logistic Regression function that best predicts the probability of low scientific production was identified, the Curve allowed to validate the model obtained, with good predictive capacity to anticipate the outcome of low productivity in teachers.@en
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                    [0] => Dayami Bembibre Mozo
                    [1] => María de las Mercedes Fernández Valdés
                    [2] => Lidyce Quesada Leyva
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                    [0] => Factores predictivos@es
                    [1] => Producción científica@es
                    [2] => Indicadores bibliométricos@es
                    [3] => Visibilidad@es
                    [4] => Medicina.@es
                    [5] => Predictive factors@en
                    [6] => Scientific production@en
                    [7] => Bibliometric indicators@en
                    [8] => Visibility@en
                    [9] => Medicine.@en
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