Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies is a research paper published in PLoS Genetics (2021). On theSindex it has a DataRank of 0.681. It has been cited 93 times.
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
0.681
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 →National Cancer Institute
Grant: U01 CA194393
National Human Genome Research Institute
Grant: R01 HG009120
National Cancer Institute
Grant: R01 CA227237
National Cancer Institute
Grant: R35 CA197449
National Human Genome Research Institute
Grant: U01 HG009088
FWCI
8.18
Citation Percentile
1.0%
Citation Trend
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