Lung Cancer Computational Biology and Resources is a dataset published in Cold Spring Harbor Perspectives in Medicine (2021). On theSindex it has a DataRank of 0.466, placing it in the top 40.8% of the data-sharing corpus. It has been cited 9 times, with 9 citing works in its 1-hop citation network.
Ranks in the top 41% 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
0.345
From this paper's citation signal
Citation Network Contribution
0.120
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 9 citers.
National Institutes of Health
Grant: 3P50CA070907-02S1
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCER
National Institutes of Health
Grant: 1R35GM136375-01
Novel computational approaches to predict drug response and combination effects
National Institutes of Health
Grant: 5R01CA152301-02
Predicting Adjuvant Chemotherapy Response in Lung Cancer
National Institutes of Health
Grant: 3P30CA142543-12S1
Multidimensional single-cell approach probing HIV-1 integration association with non-AIDS defining cancers (Biospecimens/Biocohort)
National Institutes of Health
Grant: 1R01CA172211-01A1
Integrative Analysis to Identify Therapeutic Targets for Lung Cancer
National Institutes of Health
Grant: 5R01GM115473-04
Integrative Analysis to Identify Regulation Targets of RNA-Binding Proteins
NCI NIH HHS
Grant: R01 CA152301
NCI NIH HHS
Grant: P30 CA142543
NIGMS NIH HHS
Grant: R01 GM115473
NCI NIH HHS
Grant: P50 CA070907
NCI NIH HHS
Grant: R01 CA172211
NIGMS NIH HHS
Grant: R35 GM136375
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals