Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification is a research paper published in Lecture notes in computer science (2023). On theSindex it has a DataRank of 0.801. It has been cited 18 times, with 18 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
0.442
From this paper's citation signal
Citation Network Contribution
0.360
From 10 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 18 citers.
NCI NIH HHS
Grant: R01 CA253923
NCI NIH HHS
Grant: F30 CA275020
NIBIB NIH HHS
Grant: T32 EB021937
NCATS NIH HHS
Grant: UL1 TR002243
Keywords