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HUVN Investiga nº 14

Authors: Flores, Encarnación Gonzalez; Águila, Mª Mar Rodríguez Del; Alba-Ruiz, Rubén; Olvera, María Del Carmen;

HUVN Investiga nº 14

Abstract

La Unidad de Gestión y Apoyo a la Investigación del Hospital Universitario Virgen de las Nieves de Granada publica el Newsletter mensual número 14 correspondiente a Abril de 2023 donde describe todas las actividades relacionadas con la investigación del hospital. La Unidad de Gestión y Apoyo a la Investigación ha elaborado y distribuido una encuesta entre los profesionales del hospital para valorar los servicios que presta así como la relevancia y mejoras implementadas. La responsable de investigación Dra. Encarna González, junto con los profesionales de la UGAI están celebrando reuniones personalizadas con Jefes de Servicio y referentes de investigación para detectar las necesidades y demandas de investigación en su unidad y en nuestro centro. Para el comentario del artículo del mes se trata "FALLEN JOURNALS 2023.Implicaciones para la ciencia española de la expulsión de revistas en Web of Science (Version 1)" (en Zenodo. https://doi.org/10.5281/zenodo.7790968) y se reflexiona sobre las perversiones derivadas del sistema español de evaluación y sus protagonistas. Como recurso del mes tratamos EPIDAT, una herramienta de libre distribución para el cálculo de la muestra de un estudio.

La newsletter contiene información sobre la producción científica, proyectos, cursos, ensayos clínicos, premios y noticias de interés del el Hospital Universitario Virgen de las Nieves de Granada. Se trata de una revista digital mensual que proporciona contenido para ejecutivos de hospitales y sistemas de salud. El boletín está disponible en formato de archivo Adobe PDF y se puede descargar desde el sitio web del hospital (https://www.huvn.es/investigacion/newsletter_huvn_investiga).

Keywords

Financiación, Premios, Publicaciones, Ensayos Clínicos, Investigación, Newsletter, Noticias

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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