Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium is a dataset published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 0.943, placing it in the top 21.4% of the data-sharing corpus. It has been cited 16 times, with 12 citing works in its 1-hop citation network.
Ranks in the top 21% for downstream scientific impact
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.
Base Score Contribution
0.425
From this paper's citation signal
Citation Network Contribution
0.518
From 11 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 12 citers.
National Library of Medicine
Grant: R01LM011176
National Institute on Drug Abuse
Grant: R01DA057599
National Institutes of Health
Grant: 4R01DA057599-02
Mining Social Media Big Data for Toxicovigilance: Studying Substance Use via Natural Language Processing and Machine Learning Methods
National Institutes of Health
Grant: 3R01LM011176-08S1
Social Media Mining for Pharmacovigilance
National Institutes of Health
Google Award for Inclusion Research
NIH HHS
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals