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1.
Rev. cub. inf. cienc. salud ; 33: e1808, 2022. tab, graf
Article in Spanish | LILACS, CUMED | ID: biblio-1408111

ABSTRACT

Los elevados niveles de violencia y polivictimización a nivel global, constituyen una importante causa de mortalidad y morbilidad; ello da cuenta su alcance para la salud pública. Esta investigación tuvo por objetivo establecer las principales características bibliométricas de la investigación en polivictimización como constructo de relevancia para la salud pública. Se analizaron los artículos y revisiones indexados en la colección principal de Web of Science, considerando indicadores de producción e impacto, estructura de citas, ocurrencia y co-ocurrencia de palabras clave, así como categorización de la centralidad y densidad de temas. Se observó que la polivictimización es un campo emergente (con 461 documentos), desarrollado fundamentalmente en naciones industrializados (G7) y centrado en la conexión entre diversos tipos de violencia interpersonal y sus efectos, particularmente a nivel de salud mental. Los países con mayor impacto presentan alta diversidad geográfica, no integran el G7 mayoritariamente y abarcan los 5 continentes; entre ellos, Estados Unidos se destaca por el volumen de su producción e impacto alcanzado (publicaciones en revistas ranqueadas, 9750 citas e Índice-H de 46), concentrando en los años iniciales mayor número de artículos influyentes. Actualmente los estudios de polivictimización exhiben un ritmo acelerado de crecimiento, ingreso de nuevos autores y una estructura con varios temas motores y emergentes, lo cual permite suponer que ganará especificidad en la medida en que se consoliden, y ello plantea desafíos para futuras investigaciones(AU)


The high levels of violence and polyvictimization at a global level represents an important cause of mortality and morbidity; this accounts for its scope for public health. This research aimed to establish the main bibliometric characteristics of polyvictimization research as a construct of relevance for public health. Articles and reviews indexed in the main collection of Web of Science were analyzed, considering indicators of production and impact, citation structure, occurrence and co-occurrence of keywords, as well as categorization of the centrality and density of topics. It was observed that polyvictimization is an emerging field (with 461 documents), mainly developed in industrialized nations (G7) and focused on the connection among different types of interpersonal violence and its effects, particularly on mental health. The countries with the greatest impact have high geographical diversity, are not members of G7 mostly, and belong to the 5 continents; among them, the United States stands out for the volume of its production and impact attained (publications in ranked journals, 9750 citations and H-Index of 46), concentrating in the initial years a higher number of influential articles. Currently, polyvictimization studies show an accelerated rate of growth, the entry of new authors and a structure with several motor and emerging themes, which indicates that it will gain specificity as well as consolidation, and this represents challenges for future research(AU)


Subject(s)
Humans , Male , Female , Bibliometrics , Risk Factors , Crime Victims/psychology , Exposure to Violence/psychology , Chile
2.
BMC Syst Biol ; 11(1): 66, 2017 Jul 04.
Article in English | MEDLINE | ID: mdl-28676050

ABSTRACT

BACKGROUND: Nannochloropsis salina (= Eustigmatophyceae) is a marine microalga which has become a biotechnological target because of its high capacity to produce polyunsaturated fatty acids and triacylglycerols. It has been used as a source of biofuel, pigments and food supplements, like Omega 3. Only some Nannochloropsis species have been sequenced, but none of them benefit from a genome-scale metabolic model (GSMM), able to predict its metabolic capabilities. RESULTS: We present iNS934, the first GSMM for N. salina, including 2345 reactions, 934 genes and an exhaustive description of lipid and nitrogen metabolism. iNS934 has a 90% of accuracy when making simple growth/no-growth predictions and has a 15% error rate in predicting growth rates in different experimental conditions. Moreover, iNS934 allowed us to propose 82 different knockout strategies for strain optimization of triacylglycerols. CONCLUSIONS: iNS934 provides a powerful tool for metabolic improvement, allowing predictions and simulations of N. salina metabolism under different media and genetic conditions. It also provides a systemic view of N. salina metabolism, potentially guiding research and providing context to -omics data.


Subject(s)
Genomics , Lipids/biosynthesis , Microalgae/genetics , Microalgae/metabolism , Models, Biological , Stramenopiles/genetics , Stramenopiles/metabolism , Chromosome Mapping , Gene Expression Profiling , Genetic Engineering , Molecular Sequence Annotation , Nitrogen/metabolism
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