AE-GPT: Using Large Language Models to extract adverse events from surveillance reports-A use case with influenza vaccine adverse events is a research paper published in PLoS ONE (2024). On theSindex it has a DataRank of 0. It has been cited 53 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institutes of Health
Grant: R01AI130460
National Institutes of Health
Grant: U24AI171008
National Institutes of Health
Grant: 5U24AI171008-03
VIOLIN 2.0: Vaccine Information and Ontology LInked kNowledgebase
National Institutes of Health
Grant: 1R01AI130460-01
Dynamic learning for post-vaccine event prediction using temporal information in VAERS
FWCI
22.73
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals