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An Integrative Genomic and Epigenomic Approach for the Study of Transcriptional Regulation

Overview of attention for article published in PLOS ONE, March 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 Wikipedia page
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1 research highlight platform

Citations

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77 Dimensions

Readers on

mendeley
95 Mendeley
citeulike
4 CiteULike
connotea
2 Connotea
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Title
An Integrative Genomic and Epigenomic Approach for the Study of Transcriptional Regulation
Published in
PLOS ONE, March 2008
DOI 10.1371/journal.pone.0001882
Pubmed ID
Authors

Maria E. Figueroa, Mark Reimers, Reid F. Thompson, Kenny Ye, Yushan Li, Rebecca R. Selzer, Jakob Fridriksson, Elisabeth Paietta, Peter Wiernik, Roland D. Green, John M. Greally, Ari Melnick

Abstract

The molecular heterogeneity of acute leukemias and other tumors constitutes a major obstacle towards understanding disease pathogenesis and developing new targeted-therapies. Aberrant gene regulation is a hallmark of cancer and plays a central role in determining tumor phenotype. We predicted that integration of different genome-wide epigenetic regulatory marks along with gene expression levels would provide greater power in capturing biological differences between leukemia subtypes. Gene expression, cytosine methylation and histone H3 lysine 9 (H3K9) acetylation were measured using high-density oligonucleotide microarrays in primary human acute myeloid leukemia (AML) and acute lymphocytic leukemia (ALL) specimens. We found that DNA methylation and H3K9 acetylation distinguished these leukemias of distinct cell lineage, as expected, but that an integrative analysis combining the information from each platform revealed hundreds of additional differentially expressed genes that were missed by gene expression arrays alone. This integrated analysis also enhanced the detection and statistical significance of biological pathways dysregulated in AML and ALL. Integrative epigenomic studies are thus feasible using clinical samples and provide superior detection of aberrant transcriptional programming than single-platform microarray studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 6%
United Kingdom 2 2%
Canada 2 2%
Brazil 1 1%
Germany 1 1%
Chile 1 1%
Unknown 82 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 25%
Student > Ph. D. Student 19 20%
Professor 14 15%
Professor > Associate Professor 14 15%
Student > Postgraduate 5 5%
Other 11 12%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 56%
Medicine and Dentistry 17 18%
Biochemistry, Genetics and Molecular Biology 7 7%
Environmental Science 1 1%
Mathematics 1 1%
Other 7 7%
Unknown 9 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 June 2021.
All research outputs
#6,377,613
of 22,660,862 outputs
Outputs from PLOS ONE
#76,338
of 193,497 outputs
Outputs of similar age
#25,184
of 81,120 outputs
Outputs of similar age from PLOS ONE
#159
of 297 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 193,497 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 81,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 297 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.