Abstract
BackgroundNumerous efforts have been poured into annotating the wealth of knowledge contained in biomedical articles. Thanks to such efforts, it is now possible to quantitatively explore relations between these annotations and the citation network at large scale.ResultsWith the aid of several large and small annotation databases, this study shows that articles share annotations with their citation neighborhood to the point that the neighborhood’s most common annotations are likely to be those appearing in the article.ConclusionsThese findings posit that an article’s citation neighborhood defines to a large extent the article’s annotated content. Thus, citations should be considered as a foundation for future knowledge management and annotation of biomedical articles.
Highlights
Numerous efforts have been poured into annotating the wealth of knowledge contained in biomedical articles
The Initiative for Open Citations (I4OC) provides an open dataset of machine-readable references belonging to publications and which have been mapped to digital object identifiers (DOIs) to facilitate processing
Precision was the percentage of unique annotations in the neighborhood that appeared in the article
Summary
Numerous efforts have been poured into annotating the wealth of knowledge contained in biomedical articles. Thanks to such efforts, it is possible to quantitatively explore relations between these annotations and the citation network at large scale. Delbecque and Zweigenbaum [1] already pointed at the value of an article’s listed references by using them—among other article features—to automatically suggest MeSH term annotations for the article. Their analysis was based on full-text Journal of the American Medical Association (JAMA) articles published between the years 1998 and 2008.
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