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Insulator function and topological domain border strength scale with architectural protein occupancy

Overview of attention for article published in Genome Biology, June 2014
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324 Mendeley
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4 CiteULike
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Title
Insulator function and topological domain border strength scale with architectural protein occupancy
Published in
Genome Biology, June 2014
DOI 10.1186/gb-2014-15-5-r82
Pubmed ID
Authors

Kevin Van Bortle, Michael H Nichols, Li Li, Chin-Tong Ong, Naomi Takenaka, Zhaohui S Qin, Victor G Corces

Abstract

Chromosome conformation capture studies suggest that eukaryotic genomes are organized into structures called topologically associating domains. The borders of these domains are highly enriched for architectural proteins with characterized roles in insulator function. However, a majority of architectural protein binding sites localize within topological domains, suggesting sites associated with domain borders represent a functionally different subclass of these regulatory elements. How topologically associating domains are established and what differentiates border-associated from non-border architectural protein binding sites remain unanswered questions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 4 1%
China 2 <1%
Germany 2 <1%
France 2 <1%
Korea, Republic of 1 <1%
Hungary 1 <1%
Denmark 1 <1%
Netherlands 1 <1%
Other 2 <1%
Unknown 303 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 98 30%
Researcher 57 18%
Student > Master 34 10%
Student > Bachelor 30 9%
Student > Doctoral Student 16 5%
Other 37 11%
Unknown 52 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 125 39%
Biochemistry, Genetics and Molecular Biology 123 38%
Computer Science 9 3%
Physics and Astronomy 5 2%
Mathematics 2 <1%
Other 9 3%
Unknown 51 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 March 2015.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from Genome Biology
#3,853
of 4,467 outputs
Outputs of similar age
#116,986
of 241,932 outputs
Outputs of similar age from Genome Biology
#43
of 57 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 13th percentile – i.e., 13% 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 241,932 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.