Tool for filtering PubMed search results by sample size | Zendy

Carlos Baladrón | Zendy; Alejandro SantosLozano | Zendy; Javier M. Aguiar | Zendy; Alejandro Lucía | Zendy; Juan Manuel Barroso y Martín | Zendy

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Tool for filtering PubMed search results by sample size

Author(s) -

Carlos Baladrón,

Alejandro SantosLozano,

Javier M. Aguiar,

Alejandro Lucía,

Juan Manuel Barroso y Martín

Publication year - 2017

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocx155

Subject(s) - sample size determination , sample (material) , computer science , information retrieval , statistics , artificial intelligence , mathematics , chemistry , chromatography

The most used search engine for scientific literature, PubMed, provides tools to filter results by several fields. When searching for reports on clinical trials, sample size can be among the most important factors to consider. However, PubMed does not currently provide any means of filtering search results by sample size. Such a filtering tool would be useful in a variety of situations, including meta-analyses or state-of-the-art analyses to support experimental therapies. In this work, a tool was developed to filter articles identified by PubMed based on their reported sample sizes.

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