Efficient profiling of total RNA in single cells with STORM-seq is a research paper. On theSindex it has a DataRank of 0.434. It has been cited 17 times.
Scored on demand from live citation data
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
0.434
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →NCI
Grant: R37CA230748
NCI
Grant: R03CA290259
Ovarian Cancer Research Alliance
Grant: 891749
National Institutes of Health
Grant: 5R01AI171984-02
The roles of genetics, hormones, and gender in sexually dimorphic immune response
National Institutes of Health
Grant: 4R37CA230748-06
High-throughput Epigenomic Mapping of Regulatory Elements in Ovarian Cancer at Basepair Resolution
Fields of Study
Keywords
Sustainable Development Goals
Imaging and Flow Cytometry data for "Efficient profiling of total RNA in single cells with STORM-seq"
Code supporting "Efficient profiling of total RNA in single cells with STORM-seq"
Additional data supporting "Efficient profiling of total RNA in single cells with STORM-seq"
Additional data supporting "Efficient profiling of total RNA in single cells with STORM-seq"
Code supporting "Efficient profiling of total RNA in single cells with STORM-seq"
Imaging and Flow Cytometry data for "Efficient profiling of total RNA in single cells with STORM-seq"
STORMqc version 0.1.0
STORMqc version 0.1.0