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ChIP-less analysis of chromatin states

Overview of attention for article published in Epigenetics & Chromatin, April 2014
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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1 X user
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1 Google+ user

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105 Mendeley
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1 CiteULike
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Title
ChIP-less analysis of chromatin states
Published in
Epigenetics & Chromatin, April 2014
DOI 10.1186/1756-8935-7-7
Pubmed ID
Authors

Zhangli Su, Melissa D Boersma, Jin-Hee Lee, Samuel S Oliver, Shichong Liu, Benjamin A Garcia, John M Denu

Abstract

Histone post-translational modifications (PTMs) are key epigenetic regulators in chromatin-based processes. Increasing evidence suggests that vast combinations of PTMs exist within chromatin histones. These complex patterns, rather than individual PTMs, are thought to define functional chromatin states. However, the ability to interrogate combinatorial histone PTM patterns at the nucleosome level has been limited by the lack of direct molecular tools.

X Demographics

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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
France 2 2%
Turkey 1 <1%
Mexico 1 <1%
Netherlands 1 <1%
Unknown 95 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 42%
Researcher 23 22%
Student > Master 8 8%
Professor > Associate Professor 7 7%
Student > Doctoral Student 4 4%
Other 12 11%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 57%
Biochemistry, Genetics and Molecular Biology 16 15%
Chemistry 7 7%
Computer Science 4 4%
Medicine and Dentistry 4 4%
Other 5 5%
Unknown 9 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 May 2014.
All research outputs
#14,781,203
of 22,756,196 outputs
Outputs from Epigenetics & Chromatin
#424
of 566 outputs
Outputs of similar age
#127,975
of 227,008 outputs
Outputs of similar age from Epigenetics & Chromatin
#2
of 5 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 566 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 21st percentile – i.e., 21% 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 227,008 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.