Curated single cell multimodal landmark datasets for R/Bioconductor is a dataset published in PLoS Computational Biology (2023). On theSindex it has a DataRank of 0.375, placing it in the top 48% of the data-sharing corpus. It has been cited 7 times, with 4 citing works in its 1-hop citation network.
Ranks in the top 48% 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
0.312
From this paper's citation signal
Citation Network Contribution
0.0626
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 4 citers.
National Institute of Health
Grant: 2U24CA180996
Chan Zuckerberg Initiative
Grant: CZF2019-002443
NCI NIH HHS
Grant: U24 CA180996
National Institutes of Health
Grant: 3U24CA180996-10S1
Cancer Genomics: Integrative and Scalable Solutions in R/Bioconductor
Belgian National Fund for Scientific Research
FWCI
0.56
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals