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A hyper-dynamic nature of bivalent promoter states underlies coordinated developmental gene expression modules

Overview of attention for article published in BMC Genomics, January 2014
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Mentioned by

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2 tweeters

Citations

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8 Dimensions

Readers on

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34 Mendeley
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Title
A hyper-dynamic nature of bivalent promoter states underlies coordinated developmental gene expression modules
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-1186
Pubmed ID
Authors

Akshay Shah, Anja Oldenburg, Philippe Collas

Abstract

Chromatin remodeling is crucial for proper programing of developmental gene expression. Recent work provides a dynamic view of post-translational histone modifications during differentiation; however there is little insight on the evolution of combinatorial genome-wide patterns of chromatin marks, excluding an essential aspect of developmental gene regulation.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 8 24%
Student > Master 4 12%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 4 12%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 47%
Biochemistry, Genetics and Molecular Biology 7 21%
Medicine and Dentistry 3 9%
Immunology and Microbiology 1 3%
Computer Science 1 3%
Other 0 0%
Unknown 6 18%

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 01 January 2015.
All research outputs
#3,210,973
of 4,691,823 outputs
Outputs from BMC Genomics
#3,359
of 4,322 outputs
Outputs of similar age
#105,072
of 156,151 outputs
Outputs of similar age from BMC Genomics
#256
of 321 outputs
Altmetric has tracked 4,691,823 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,322 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 11th percentile – i.e., 11% 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 156,151 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 321 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.