The gene expression landscape of the human locus coeruleus revealed by single-nucleus and spatially-resolved transcriptomics is a research paper published in eLife (2023). On theSindex it has a DataRank of 0.434. It has been cited 17 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
0.434
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 →National Institutes of Health
Grant: U01MH122849
National Institutes of Health
Grant: R01DA053581
National Institutes of Health
Grant: K99HG012229
Chan Zuckerberg Initiative
Grant: CZF2019-002443
Chan Zuckerberg Initiative
Grant: CZF2018-183446
NHGRI NIH HHS
Grant: R00 HG012229
National Institutes of Health
Grant: 5U01MH122849-02
Spatial registration of gene expression in the human brain
National Institutes of Health
Grant: 1K99HG012229-01
Unsupervised Statistical Methods for Data-driven Analyses in Spatially Resolved Transcriptomics Data
National Institutes of Health
Grant: 5R01DA053581-02
Registration of spatial gene expression in key nodes of reward-related circuitry in the human brain
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals