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Non-headache literature inevitably influences headache research, but the way this interdisciplinary interaction occurs has seldom been evaluated. Utilizing network analysis techniques within the PubMed Central (PMC) database, we illustrate a novel method by which to identify and characterize the important non-headache literature with significant impact within the headache world. Using the National Center for Biotechnology Information E-utilities application programing interface and custom backend software, all PMC articles containing t
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