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Nucleosome distortion as a possible mechanism of transcription activation domain function

Overview of attention for article published in Epigenetics & Chromatin, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

Mentioned by

twitter
18 tweeters

Citations

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17 Dimensions

Readers on

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39 Mendeley
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Title
Nucleosome distortion as a possible mechanism of transcription activation domain function
Published in
Epigenetics & Chromatin, September 2016
DOI 10.1186/s13072-016-0092-2
Pubmed ID
Authors

Tamara Y. Erkina, Alexandre M. Erkine

Abstract

After more than three decades since the discovery of transcription activation domains (ADs) in gene-specific activators, the mechanism of their function remains enigmatic. The widely accepted model of direct recruitment by ADs of co-activators and basal transcriptional machinery components, however, is not always compatible with the short size yet very high degree of sequence randomness and intrinsic structural disorder of natural and synthetic ADs. In this review, we formulate the basis for an alternative and complementary model, whereby sequence randomness and intrinsic structural disorder of ADs are necessary for transient distorting interactions with promoter nucleosomes, triggering promoter nucleosome translocation and subsequently gene activation.

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Researcher 10 26%
Student > Master 4 10%
Student > Bachelor 3 8%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 6 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 51%
Agricultural and Biological Sciences 10 26%
Arts and Humanities 1 3%
Economics, Econometrics and Finance 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 5 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 November 2016.
All research outputs
#2,175,919
of 16,257,150 outputs
Outputs from Epigenetics & Chromatin
#93
of 470 outputs
Outputs of similar age
#49,458
of 270,670 outputs
Outputs of similar age from Epigenetics & Chromatin
#1
of 1 outputs
Altmetric has tracked 16,257,150 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 470 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 79% 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 270,670 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them