Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset
Journal of Open Source Software, 5(46), 1979 · 2020
About this work
PubMed Parser converts biomedical article XML into Python data structures for text mining and bibliometric analysis. It supports the PubMed Central Open Access subset and MEDLINE, giving researchers a common starting point for extracting publication information without building a separate XML parser for each project.
Cite this work
Titipat Achakulvisut; Daniel E Acuna; Konrad Kording (2020). Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset. Journal of Open Source Software, 5(46), 1979. 10.21105/joss.01979.
@article{achakulvisut2020pubmed,
title = {Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset},
author = {Achakulvisut, Titipat and Acuna, Daniel E and Kording, Konrad},
year = {2020},
publication_date = {2020-02-08},
journal = {Journal of Open Source Software},
volume = {5},
number = {46},
pages = {1979},
doi = {10.21105/joss.01979},
url = {https://joss.theoj.org/papers/10.21105/joss.01979}
}