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Classification of human genomic regions based on experimentally determined binding sites of more than 100 transcription-related factors

Overview of attention for article published in Genome Biology, September 2012
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
3 blogs
twitter
4 X users
wikipedia
3 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
232 Dimensions

Readers on

mendeley
633 Mendeley
citeulike
20 CiteULike
Title
Classification of human genomic regions based on experimentally determined binding sites of more than 100 transcription-related factors
Published in
Genome Biology, September 2012
DOI 10.1186/gb-2012-13-9-r48
Pubmed ID
Authors

Kevin Y Yip, Chao Cheng, Nitin Bhardwaj, James B Brown, Jing Leng, Anshul Kundaje, Joel Rozowsky, Ewan Birney, Peter Bickel, Michael Snyder, Mark Gerstein

Abstract

Transcription factors function by binding different classes of regulatory elements. The Encyclopedia of DNA Elements (ENCODE) project has recently produced binding data for more than 100 transcription factors from about 500 ChIP-seq experiments in multiple cell types. While this large amount of data creates a valuable resource, it is nonetheless overwhelmingly complex and simultaneously incomplete since it covers only a small fraction of all human transcription factors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 633 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 28 4%
United Kingdom 13 2%
Germany 8 1%
Spain 8 1%
Netherlands 2 <1%
Australia 2 <1%
Italy 2 <1%
Switzerland 2 <1%
Portugal 2 <1%
Other 20 3%
Unknown 546 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 190 30%
Researcher 178 28%
Student > Master 58 9%
Professor > Associate Professor 37 6%
Student > Bachelor 35 6%
Other 102 16%
Unknown 33 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 346 55%
Biochemistry, Genetics and Molecular Biology 106 17%
Computer Science 62 10%
Medicine and Dentistry 29 5%
Engineering 8 1%
Other 34 5%
Unknown 48 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 06 August 2018.
All research outputs
#1,446,954
of 26,017,215 outputs
Outputs from Genome Biology
#1,142
of 4,513 outputs
Outputs of similar age
#8,677
of 191,799 outputs
Outputs of similar age from Genome Biology
#13
of 56 outputs
Altmetric has tracked 26,017,215 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 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 74% 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 191,799 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 94% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.