Sentence examples for affiliation parsing from inspiring English sources

While building the affiliation parsing tool, we found that over 80% of the affiliation strings in PubMed articles adhered to the following format: [address component], [address component],..., [country].

Our affiliation parsing strategy demonstrates the capacity to extract investigator profile information efficiently from PubMed records.

Detailed affiliation parsing algorithm can be found in the appendix file.

Performance of affiliation parsing is given in Table 3. *Parsable: number of abstracts that have country or institution information/number of abstracts that have affiliation information.

We developed a novel strategy to obtain detailed investigator information by automatically parsing the affiliation string in PubMed records.

We successfully developed and implemented an automated approach that uses the UMLS to accurately and robustly parse the affiliation string.

Sample representative terms for each discipline and category are included in Additional file 1: Appendix 1. Metadata of all articles included in the corpus was obtained by parsing the XML of the screened result of the PubMed query directly, including author affiliation (where available) and publication date.

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