2 research outputs found
Estudio métrico sobre la actividad investigadora usando el software libre R: el caso del sistema universitario gallego
[Resumen] Este trabajo representa una nueva alternativa para el estudio, clasificación y comparación de la producción científica de centros de investigación, utilizando las funciones de tratamiento de datos del paquete Citan del software estadístico R. En particular, se muestra el análisis bibliométrico de las publicaciones de las universidades de A Coruña, Santiago de Compostela y Vigo, en el periodo 2000-2011, recopiladas por la base de datos Scopus. Entre las técnicas usadas se aplicaron modelos de Lotka y Price, modelización no paramétrica y paramétrica de los datos, así como el cálculo y análisis de indicadores de la cantidad y calidad de la producción científica, los índices h y g, y otros menosconocidos como los rp1, lp, Ge1, Ge5 y Slp1. Como novedad, se propone una variante del índice h (hh) que define el grupo de investigadores que forman la élite
más productiva de cada universidad y estima su calidad investigadora.[Abstract] This work represents a new alternative for the study, classification and comparison of the scientific production corresponding to research entities. It consists on the application of statistical data processing functions available in the R software’s Citan package. In particular, the bibliometric study of publications of universities of A Coruña, Santiago de Compostela and Vigo, in the period 2000-2011, compiled by the Scopus database. The study was conducted using the statistical analysis of the data, the application of models of Lotka and Price, nonparametric and parametric modeling (Pareto) of the data, and the calculation and analysis of indicators of the scientific production like the h and g indexes, and others lesser known as rp1, lp, Ge1, Ge5 and Slp1. A novelty consists in a variant of the h index (hh) that defines the group of researchers who are the most productive of each university, the elite, and estimates the researching quality of such representative elites
Ultrasound measures of abdominal fat layers correlate with metabolic syndrome features in patients with obesity
Summary Objective Abdominal fat ultrasound (US) is a simple clinical tool that may allow measures of fat depots not visible using common dual‐energy X‐ray absorptiometry (DEXA) or computerized tomography (CT) imaging. The aim of this study was to validate the technique, give measures of superficial and profound subcutaneous, preperitoneal, omental and perirenal (retroperitoneal) fat and correlate them with MS markers. Methods Sequential US measures of these five abdominal fat layers were done at 397 adults. Blood pressure (BP), body mass index (BMI), waist, body fat %, HOMA‐IR index (homeostatic model assessment of insulin resistance), lipid profile and leptin were recorded. Metabolic syndrome (MS) was defined according to Cholesterol education programme adult treatment panel III (ATPIII) criteria. Results Subcutaneous and omental fat were increased among people with obesity, whereas preperitoneal and perirenal fat did not show any difference according to BMI or waist. Women showed thicker subcutaneous fat (both superficial and profound), whereas men had bigger omental fat. Both postmenopausal and diabetic patients had changes in omental fat only, whereas patients with fatty liver showed thicker preperitoneal and perirenal fat, as well. MS patients showed both thicker perirenal and omental fat. A cut‐off of 54 mm in male (M)/34 mm in female (F) of omental fat and 22.5 mm (M)/12.5 mm (F) of perirenal fat could be predictive of later MS onset. Conclusions US is a valid method to measure all different abdominal fat depots. Omental and perirenal fat measures may classify patients at risk for MS. Preperitoneal fat depot may also correlate with fatty liver disease