Searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms

    * Requires a minimum screen resolution of 1920 X 1080
    * Query: Up to three words. No special characters except hyphens (-)
    Mouse over MeSH terms: Topic terms
    MESH : MeSH search with a MeSH tag
    KEY : MeSH search without a MeSH tag
    KEY+ : KEY + user query

UPDATE Meshable dataset available HERE
UPDATE Topic term identification source code available through NCBITextLib (ThemX class)

S. Kim, L. Yeganova and W. J. Wilbur, Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms, Bioinformatics, doi: 10.1093/bioinformatics/btw331, 2016.

Contact us: sun.kim@nih.gov