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Identification of alternative topological domains in chromatin

Overview of attention for article published in Algorithms for Molecular Biology, May 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 177)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
12 tweeters

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
149 Mendeley
citeulike
5 CiteULike
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Title
Identification of alternative topological domains in chromatin
Published in
Algorithms for Molecular Biology, May 2014
DOI 10.1186/1748-7188-9-14
Pubmed ID
Authors

Darya Filippova, Rob Patro, Geet Duggal, Carl Kingsford

Abstract

Chromosome conformation capture experiments have led to the discovery of dense, contiguous, megabase-sized topological domains that are similar across cell types and conserved across species. These domains are strongly correlated with a number of chromatin markers and have since been included in a number of analyses. However, functionally-relevant domains may exist at multiple length scales. We introduce a new and efficient algorithm that is able to capture persistent domains across various resolutions by adjusting a single scale parameter. The ensemble of domains we identify allows us to quantify the degree to which the domain structure is hierarchical as opposed to overlapping, and our analysis reveals a pronounced hierarchical structure in which larger stable domains tend to completely contain smaller domains. The identified novel domains are substantially different from domains reported previously and are highly enriched for insulating factor CTCF binding and histone marks at the boundaries.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 5%
Germany 4 3%
France 3 2%
United Kingdom 2 1%
Mexico 1 <1%
Lithuania 1 <1%
Russia 1 <1%
Denmark 1 <1%
Japan 1 <1%
Other 2 1%
Unknown 125 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 33%
Researcher 29 19%
Student > Master 20 13%
Student > Bachelor 16 11%
Unspecified 12 8%
Other 23 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 48%
Biochemistry, Genetics and Molecular Biology 35 23%
Computer Science 20 13%
Unspecified 13 9%
Physics and Astronomy 4 3%
Other 6 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 May 2015.
All research outputs
#2,315,910
of 11,293,566 outputs
Outputs from Algorithms for Molecular Biology
#30
of 177 outputs
Outputs of similar age
#35,546
of 187,072 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 7 outputs
Altmetric has tracked 11,293,566 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 177 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 83% 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 187,072 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 80% of its contemporaries.
We're also able to compare this research output to 7 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