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Updated: Sep 10, 2025
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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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Desbloquear el potencial de los archivos de datos complementarios de PubMed Central
Julien Gobeill1,2, Déborah Caucheteur1,2, Alexandre Flament1,2
1SIB Text Mining Group, Swiss Institute of Bioinformatics, Geneva 1206, Switzerland.
Bioinformatics advances
|August 27, 2025
Resumen
Los archivos de datos suplementarios contienen información biológica crucial que no se encuentra en las búsquedas estándar. La extracción de estos datos mejora significativamente las búsquedas bibliográficas de entidades biológicas y bases de datos, mejorando los esfuerzos de biocuración.
Área de la Ciencia:
- La bioinformática
- Ciencia de los datos
- Ciencias de la vida
Sus antecedentes:
- La biocuración se basa en la búsqueda de entidades biológicas en la literatura.
- Los motores de búsqueda estándar (por ejemplo, MEDLINE, PubMed Central) omiten datos en los archivos complementarios.
- Esto limita la integridad de las búsquedas en la literatura científica.
Objetivo del estudio:
- Para cubrir la brecha en la indexación de la literatura mediante la extracción de datos de archivos suplementarios.
- Evaluar la información obtenida de los datos complementarios para la biocuración.
- Evaluar la capacidad de búsqueda de los Recursos de Biodatos Básicos Globales (GCBR) utilizando este conjunto de datos mejorado.
Principales métodos:
- Texto extraído sistemáticamente del 85% de los archivos de datos suplementarios durante dos años.
- Creó una colección de búsqueda de 35 millones de documentos.
- Búsqueda de nombres y números de acceso a los Recursos Globales de Biodatos Básicos (RBCB).
Principales resultados:
- Los archivos suplementarios proporcionan una ganancia de recuerdo del 6% para los nombres de recursos.
- El 97% de los números de adhesión identificados se encontraron exclusivamente en los expedientes suplementarios.
- La publicación del número de adhesión en ficheros complementarios es cada vez más frecuente, sobre todo en formato Excel.
Conclusiones:
- Los archivos de datos complementarios son vitales para la búsqueda exhaustiva de la literatura y la biocuración.
- La prevalencia de los archivos Excel dificulta la legibilidad y la interoperabilidad de las máquinas.
- Se necesitan métodos alternativos de publicación de datos para mejorar la accesibilidad y la reutilización de los mismos.
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