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Asociación de polimorfismos en genes de susceptibilidad a Diabetes Tipo 2 en familias extensas de la población de Sisal, Yucatán
No full textEn esta tesis se estudió la contribución de los polimorfismos en los genes relacionados a diabetes en familias extensas pertenencientes a una población con una alta incidencia de DT2 y con antecedentes de riesgo familiar. Se identificó el patrón de herencia multifactorial en 23 familias y elevada agregación familiar. Se encontró un efecto materno significativo en la transmisión y que 92% de los familiares presentaron alto riesgo a DT2."NINA VALADEZ GONZALEZ; MARIA GUADALUPE GARCIA ESCALANTE
Maya gene variants related to the risk of type 2 diabetes in a family-based association study
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Data on a genome-wide association study of type 2 diabetes in a Maya population Regularidad de publicación: Bimestral
No full textUsing flow cytometry and cytological analyses to assess the genetic stability of somatic embryo-derived plantlets from embryogenic Musa acuminata Colla (AA) ssp. malaccensis cell suspension cultures
No full textDistribution of Six Polymorphisms in Two Communities with a Historical High Incidence of Diabetes and Obesity in Yucatan, Mexico
No full textDiets Containing Sea Cucumber (Isostichopus badionotus) Meals Are Hypocholesterolemic in Young Rats
No full textInsecticide-treated house screening protects against Zika-infected Aedes aegypti in Merida, Mexico
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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