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Co-binding by YY1 identifies the transcriptionally active, highly conserved set of CTCF-bound regions in primate genomes

Overview of attention for article published in Genome Biology (Online Edition), January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
8 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
98 Mendeley
citeulike
5 CiteULike
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Title
Co-binding by YY1 identifies the transcriptionally active, highly conserved set of CTCF-bound regions in primate genomes
Published in
Genome Biology (Online Edition), January 2013
DOI 10.1186/gb-2013-14-12-r148
Pubmed ID
Authors

Petra C Schwalie, Michelle C Ward, Carolyn E Cain, Andre J Faure, Yoav Gilad, Duncan T Odom, Paul Flicek

Abstract

The genomic binding of CTCF is highly conserved across mammals, but the mechanisms that underlie its stability are poorly understood. One transcription factor known to functionally interact with CTCF in the context of X-chromosome inactivation is the ubiquitously expressed YY1. Because combinatorial transcription factor binding can contribute to the evolutionary stabilization of regulatory regions, we tested whether YY1 and CTCF co-binding could in part account for conservation of CTCF binding.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 96 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 39%
Researcher 22 22%
Student > Master 13 13%
Student > Bachelor 5 5%
Professor 4 4%
Other 9 9%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 45%
Biochemistry, Genetics and Molecular Biology 34 35%
Medicine and Dentistry 3 3%
Computer Science 2 2%
Immunology and Microbiology 2 2%
Other 5 5%
Unknown 8 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 July 2015.
All research outputs
#5,709,996
of 21,358,488 outputs
Outputs from Genome Biology (Online Edition)
#2,832
of 3,997 outputs
Outputs of similar age
#72,667
of 302,913 outputs
Outputs of similar age from Genome Biology (Online Edition)
#107
of 141 outputs
Altmetric has tracked 21,358,488 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.3. This one is in the 28th percentile – i.e., 28% 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 302,913 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 75% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.