Human DNA methylomes at base resolution show widespread epigenomic differences is a research paper published in Nature (2009). On theSindex it has a DataRank of 1.3. It has been cited 4,754 times.
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Base Score Contribution
1.3
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 →Australian Research Council (ARC)
Grant: DP0771156
The role of changes to the proteome in the signalling of stress response in plant mitochondria
Australian Research Council (ARC)
Grant: CE0561495
ARC Centre of Excellence - In Plant Energy Biology (CPEB)
National Institutes of Health
Grant: 1U01ES017166-01
The San Diego Epigenome Center
NHGRI NIH HHS
Grant: R01 HG003523
NIEHS NIH HHS
Grant: U01 ES017166
NIEHS NIH HHS
Grant: U01 1U01ES017166-01
FWCI
126.99
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA
Additional file 1 of Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA
Additional file 1 of Stable intronic sequence RNAs (sisRNAs) are selected regions in introns with distinct properties
Additional file 1 of Stable intronic sequence RNAs (sisRNAs) are selected regions in introns with distinct properties
Additional file 1 of EPIGENE: genome-wide transcription unit annotation using a multivariate probabilistic model of histone modifications
Additional file 1 of EPIGENE: genome-wide transcription unit annotation using a multivariate probabilistic model of histone modifications
Additional file 2 of Widespread and tissue-specific expression of endogenous retroelements in human somatic tissues
Additional file 2 of Widespread and tissue-specific expression of endogenous retroelements in human somatic tissues
Additional file 1 of MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Additional file 1 of MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Additional file 2 of MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Additional file 2 of MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Additional file 3 of MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Additional file 3 of MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Additional file 4 of MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Additional file 4 of MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Additional file 1 of RETRACTED ARTICLE: DNA methylome profiling at single-base resolution through bisulfite sequencing of 5mC-immunoprecipitated DNA
Additional file 1 of RETRACTED ARTICLE: DNA methylome profiling at single-base resolution through bisulfite sequencing of 5mC-immunoprecipitated DNA
Additional file 2 of Characterization of universal features of partially methylated domains across tissues and species
Additional file 2 of Characterization of universal features of partially methylated domains across tissues and species