Histone modifications at human enhancers reflect global cell-type-specific gene expression is a research paper published in Nature (2009). On theSindex it has a DataRank of 1.2. It has been cited 2,569 times.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
1.2
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 →NHGRI NIH HHS
Grant: U01 HG003151
NHGRI NIH HHS
Grant: R01 HG004037
Intramural NIH HHS
FWCI
66.52
Citation Percentile
1.0%
Influential Citations
131
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 1 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 2 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 2 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 4 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 4 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 5 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 5 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 6 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 6 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 7 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 7 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 8 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 8 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 1 of ICGEC: a comparative method for measuring epigenetic conservation of genes via the integrated signal from multiple histone modifications between cell types
Additional file 1 of ICGEC: a comparative method for measuring epigenetic conservation of genes via the integrated signal from multiple histone modifications between cell types
Additional file 1 of Epigenomic landscape of enhancer elements during Hydra head organizer formation
Additional file 1 of Epigenomic landscape of enhancer elements during Hydra head organizer formation
Additional file 10 of Histone modifications associated with gene expression and genome accessibility are dynamically enriched at Plasmodium falciparum regulatory sequences
Additional file 10 of Histone modifications associated with gene expression and genome accessibility are dynamically enriched at Plasmodium falciparum regulatory sequences