m6A-SAC-seq for quantitative whole transcriptome m6A profiling is a research paper published in Nature Protocols (2022). On theSindex it has a DataRank of 0.646. It has been cited 73 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Base Score Contribution
0.646
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 βU.S. Department of Health & Human Services | National Institutes of Health
Grant: RM1 HG008935
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01CA251150
NIAID NIH HHS
Grant: R01 AI090060
National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund
Howard Hughes Medical Institute
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