CACER: Clinical concept Annotations for Cancer Events and Relations is a dataset published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 0.220, placing it in the top 62.7% of the data-sharing corpus. It has been cited 3 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 63% 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
0.208
From this paper's citation signal
Citation Network Contribution
0.0125
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 3 citers.
NCI NIH HHS
Grant: 1R01CA248422-01A1
Large scale clinical and economic impact analysis of potentially malignant incidental findings in radiology reports
NLM NIH HHS
Grant: R15 LM013209
NCI NIH HHS
Grant: R21 CA258242
NLM NIH HHS
Grant: 2R15LM013209-02A1
Joint learning methods for event and relation extraction from clinical narratives
NCI NIH HHS
Grant: R01 CA248422
National Cancer Institute
Grant: 1R21CA258242-01
Extraction of Symptom Burden from Clinical Narratives of Cancer Patients using Natural Language Processing
NIH
National Institutes of Health
NIH HHS
FWCI
0.72
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
CACER: Clinical Concept Annotations for Cancer Events and Relations