Evaluating methods for the prediction of cell-type-specific enhancers in the mammalian cortex is a research paper published in Cell Genomics (2025). On theSindex it has a DataRank of 0.425. It has been cited 16 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
0.425
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 Institute of Mental Health
Grant: R01MH113005
National Institute of Mental Health
Grant: RF1MH121274
National Institute of Mental Health
Grant: RF1MH114126
National Institute of Mental Health
Grant: UG3MH120095
National Institute of Mental Health
Grant: 1UF1MH128339-01
Open-Access AAV Toolbox for Basal Ganglia Cell Types and Circuits
FWO
Grant: 1SH6J24N
FWO
Grant: 1191323N
Zhejiang University
Grant: 2024SSYS0032
Chan Zuckerberg Initiative
Grant: G094121N
Chan Zuckerberg Initiative
Grant: G0I2722N EOS ID 40007513
Chan Zuckerberg Initiative
Grant: CZI DI2-0000000068
Chan Zuckerberg Initiative
Grant: G044124N
Chan Zuckerberg Initiative
Grant: S005024N
European Research Council
Grant: 101054387
Decoding animal genomes into cell types
NHGRI NIH HHS
Grant: UM1 HG011585
National Institutes of Health
Grant: 1RF1MH121274-01
Cell class- or type-specific viruses for brain-wide labeling and neural circuit examination
National Institutes of Health
Grant: 1RF1MH114126-01
Development of tools for cell-type specific labeling of human and mouse neocortical neurons
National Institutes of Health
Grant: 1UG3MH120095-01A1
Cell type selective viral tools to interrogate and correct non-human primate and human brain circuitry
National Institutes of Health
Grant: 5R01MH113005-02
Revealing the transcriptomic basis of neuronal identity through functional meta-analysis
Allen Institute
National Institutes of Health
FWCI
5.54
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
PyPeakRanker: Reproducible Peak-Level Feature Extraction for Regulatory Element Ranking
PyPeakRanker: Reproducible Peak-Level Feature Extraction for Regulatory Element Ranking