Advances in spatial transcriptomic data analysis is a research paper published in Genome Research (2021). On theSindex it has a DataRank of 0.838. It has been cited 265 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
0.838
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 →NIA NIH HHS
Grant: R01 AG066028
National Institutes of Health
Grant: UH3HL145609
NHLBI NIH HHS
Grant: U54 HL145611
NCI NIH HHS
Grant: UH3 CA255134
NHLBI NIH HHS
Grant: UG3 HL145609
National Institutes of Health
Grant: 5R01AG066028-03
Spatial genomics single cell analysis of aging brains
National Institutes of Health
Grant: 1UG3HL145609-01
In situ transcriptome profiling in single cells
National Institute on Aging
Fields of Study
MeSH Terms
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Sustainable Development Goals