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Genomic pathway analysis reveals that EZH2 and HDAC4 represent mutually exclusive epigenetic pathways across human cancers

Overview of attention for article published in BMC Medical Genomics, September 2013
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Title
Genomic pathway analysis reveals that EZH2 and HDAC4 represent mutually exclusive epigenetic pathways across human cancers
Published in
BMC Medical Genomics, September 2013
DOI 10.1186/1755-8794-6-35
Pubmed ID
Authors

Adam L Cohen, Stephen R Piccolo, Luis Cheng, Rafaella Soldi, Bing Han, W Evan Johnson, Andrea H Bild

Abstract

Alterations in epigenetic marks, including methylation or acetylation, are common in human cancers. For many epigenetic pathways, however, direct measures of activity are unknown, making their role in various cancers difficult to assess. Gene expression signatures facilitate the examination of patterns of epigenetic pathway activation across and within human cancer types allowing better understanding of the relationships between these pathways.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Belgium 1 2%
Denmark 1 2%
Spain 1 2%
United States 1 2%
Unknown 59 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 32%
Researcher 12 18%
Student > Bachelor 7 11%
Student > Master 5 8%
Student > Postgraduate 4 6%
Other 12 18%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 35%
Biochemistry, Genetics and Molecular Biology 16 25%
Medicine and Dentistry 12 18%
Engineering 3 5%
Neuroscience 2 3%
Other 4 6%
Unknown 5 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 October 2013.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from BMC Medical Genomics
#856
of 1,218 outputs
Outputs of similar age
#153,440
of 205,845 outputs
Outputs of similar age from BMC Medical Genomics
#14
of 23 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,218 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 205,845 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.