Text-Mining Algorithm Improves Evaluation Of Scientific Literature

With 25,000 journals in existence today, thanks in large part to the open access movement which charges a fee to print a study, keeping up with current scientific literature is a daunting task. Hundreds to thousands of papers are published each day. Researchers from North Carolina State University have developed a text-mining algorithm to prioritize research papers to read and include in their Comparative Toxicogenomics Database (CTD), a public database that manually curates and codes data from the scientific literature describing how environmental chemicals interact with genes to affect human health. read more

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