↓ Skip to main content

ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq data

Overview of attention for article published in Genome Biology, April 2016
Altmetric Badge

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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
39 X users
facebook
1 Facebook page
f1000
1 research highlight platform

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
158 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq data
Published in
Genome Biology, April 2016
DOI 10.1186/s13059-016-0925-0
Pubmed ID
Authors

Scott M. Lundberg, William B. Tu, Brian Raught, Linda Z. Penn, Michael M. Hoffman, Su-In Lee

Abstract

A cell's epigenome arises from interactions among regulatory factors-transcription factors and histone modifications-co-localized at particular genomic regions. We developed a novel statistical method, ChromNet, to infer a network of these interactions, the chromatin network, by inferring conditional-dependence relationships among a large number of ChIP-seq data sets. We applied ChromNet to all available 1451 ChIP-seq data sets from the ENCODE Project, and showed that ChromNet revealed previously known physical interactions better than alternative approaches. We experimentally validated one of the previously unreported interactions, MYC-HCFC1. An interactive visualization tool is available at http://chromnet.cs.washington.edu .

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Canada 2 1%
United States 2 1%
Italy 1 <1%
Germany 1 <1%
Denmark 1 <1%
Mexico 1 <1%
Spain 1 <1%
Luxembourg 1 <1%
Other 0 0%
Unknown 145 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 27%
Student > Ph. D. Student 40 25%
Student > Bachelor 14 9%
Student > Master 11 7%
Student > Doctoral Student 8 5%
Other 20 13%
Unknown 23 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 33%
Biochemistry, Genetics and Molecular Biology 41 26%
Computer Science 28 18%
Mathematics 3 2%
Medicine and Dentistry 3 2%
Other 4 3%
Unknown 27 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 05 March 2019.
All research outputs
#1,728,707
of 25,374,917 outputs
Outputs from Genome Biology
#1,428
of 4,467 outputs
Outputs of similar age
#28,023
of 312,186 outputs
Outputs of similar age from Genome Biology
#34
of 76 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% 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 has gotten more attention than average, scoring higher than 67% 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 312,186 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.