Deep learning uncertainty quantification for clinical text classification is a research paper published in Journal of Biomedical Informatics (2023). On theSindex it has a DataRank of 0.485. It has been cited 8 times, with 7 citing works in its 1-hop citation network.
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.
Base Score Contribution
0.330
From this paper's citation signal
Citation Network Contribution
0.156
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
NCI NIH HHS
Grant: HHSN261201800013C
NCI NIH HHS
Grant: P30 CA177558
NCI NIH HHS
Grant: HHSN261201800013I
NCI NIH HHS
Grant: HHSN261201300007I
NCI NIH HHS
Grant: HHSN261201800016I
NCI NIH HHS
Grant: T32 CA160003
NCCDPHP CDC HHS
Grant: U58 DP003907
NCI NIH HHS
Grant: HHSN261201100007I
NCI NIH HHS
Grant: HHSN261201800007C
NCI NIH HHS
Grant: HHSN261201800016C
NCI NIH HHS
Grant: HHSN261201300021C
NCI NIH HHS
Grant: HHSN261201800014C
NCI NIH HHS
Grant: HHSN261201800014I
National Institutes of Health
Grant: 1U58DP003907-01
POLICY & ENVIRONMENTAL APPROACHES & COMMUNITY-CLINICAL LINKAGES IN CANCER PROGRAM
Fields of Study
MeSH Terms
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Sustainable Development Goals