High-throughput approaches to uncover synergistic drug combinations in leukemia is a dataset published in SLAS DISCOVERY (2023). On theSindex it has a DataRank of 0.446, placing it in the top 42.2% of the data-sharing corpus. It has been cited 9 times, with 7 citing works in its 1-hop citation network.
Ranks in the top 42% for downstream scientific impact
Linked data & code
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
0.101
From 5 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.
National Cancer Institute
Grant: F32 CA247274-01
NIGMS
Grant: R01GM144601
NCI NIH HHS
Grant: F32 CA247274
Andrew McDonough B+ Foundation
CancerFree KIDS
Israel National Road Safety Authority
National Center for Advancing Translational Sciences
National Institutes of Health
Mark Foundation For Cancer Research
St. Baldrick's Foundation
Nationwide Children's Hospital
FWCI
0.83
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals