@article{fa83be80fa5048479765de9bf3679027,
title = "The Automated Systematic Search Deduplicator (ASySD): a rapid, open-source, interoperable tool to remove duplicate citations in biomedical systematic reviews",
author = "Kaitlyn Hair and Zsanett Bahor and Malcolm Macleod and Jing Liao and Sena, {Emily s.}",
note = "Funding Information: KH was supported by funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement number 777364. This Joint Undertaking receives support from the European Union{\textquoteright}s Horizon 2020 research and innovation programme and EFPIA. KH was also supported by an Alzheimer{\textquoteright}s Research UK Pilot Grant under grant number ARUK-PPG2020A-029. ESS is supported by the Stroke Association (SAL-SNC 18\1003). Funding Information: We would like to extend our appreciation to Geert Lobbestael (Amsterdam University Medical Centres) for checking our gold standard datasets and highlighting missed duplicates. We would also like to thank Kim Wever, Darlyn Ranis, Emily Wheater, and Alexandra Bannach-Brown for providing the gold standard de-duplicated systematic search datasets used in this study. Publisher Copyright: {\textcopyright} 2023, BioMed Central Ltd., part of Springer Nature.",
year = "2023",
month = sep,
day = "7",
doi = "10.1186/s12915-023-01686-z",
language = "English",
volume = "21",
journal = "BMC Biology",
issn = "1741-7007",
publisher = "BioMed Central",
number = "1",
}