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Predicting the spatial organization of chromosomes using epigenetic data

Overview of attention for article published in Genome Biology, August 2015
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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 (80th percentile)

Mentioned by

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15 X users

Citations

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18 Dimensions

Readers on

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71 Mendeley
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1 CiteULike
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Title
Predicting the spatial organization of chromosomes using epigenetic data
Published in
Genome Biology, August 2015
DOI 10.1186/s13059-015-0752-8
Pubmed ID
Authors

Raphaël Mourad, Olivier Cuvier

Abstract

Chromosome folding can reinforce the demarcation between euchromatin and heterochromatin. Two new studies show how epigenetic data, including DNA methylation, can accurately predict chromosome folding in three dimensions. Such computational approaches reinforce the idea of a linkage between epigenetically marked chromatin domains and their segregation into distinct compartments at the megabase scale or topological domains at a higher resolution.Please see related articles: http://dx.doi.org/10.1186/s13059-015-0741-y and http://dx.doi.org/10.1186/s13059-015-0740-z.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Korea, Republic of 1 1%
Lithuania 1 1%
Germany 1 1%
Denmark 1 1%
Belgium 1 1%
Greece 1 1%
Russia 1 1%
Unknown 62 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 30%
Student > Ph. D. Student 19 27%
Professor > Associate Professor 7 10%
Student > Master 6 8%
Student > Bachelor 4 6%
Other 8 11%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 51%
Biochemistry, Genetics and Molecular Biology 12 17%
Computer Science 9 13%
Physics and Astronomy 4 6%
Chemistry 2 3%
Other 1 1%
Unknown 7 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 September 2015.
All research outputs
#4,515,057
of 25,374,647 outputs
Outputs from Genome Biology
#2,706
of 4,467 outputs
Outputs of similar age
#53,073
of 278,007 outputs
Outputs of similar age from Genome Biology
#58
of 82 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 39th percentile – i.e., 39% 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 278,007 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 82 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.