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Relating genes to function: identifying enriched transcription factors using the ENCODE ChIP-Seq significance tool

Overview of attention for article published in Bioinformatics, June 2013
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
2 blogs
twitter
13 X users

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
116 Mendeley
citeulike
10 CiteULike
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Title
Relating genes to function: identifying enriched transcription factors using the ENCODE ChIP-Seq significance tool
Published in
Bioinformatics, June 2013
DOI 10.1093/bioinformatics/btt316
Pubmed ID
Authors

Raymond K. Auerbach, Bin Chen, Atul J. Butte

Abstract

Biological analysis has shifted from identifying genes and transcripts to mapping these genes and transcripts to biological functions. The ENCODE Project has generated hundreds of ChIP-Seq experiments spanning multiple transcription factors and cell lines for public use, but tools for a biomedical scientist to analyze these data are either non-existent or tailored to narrow biological questions. We present the ENCODE ChIP-Seq Significance Tool, a flexible web application leveraging public ENCODE data to identify enriched transcription factors in a gene or transcript list for comparative analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
United Kingdom 4 3%
Germany 1 <1%
Switzerland 1 <1%
Italy 1 <1%
Hungary 1 <1%
China 1 <1%
France 1 <1%
Unknown 101 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 31%
Student > Ph. D. Student 19 16%
Student > Master 11 9%
Professor 9 8%
Other 8 7%
Other 27 23%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 50%
Biochemistry, Genetics and Molecular Biology 27 23%
Medicine and Dentistry 10 9%
Computer Science 7 6%
Nursing and Health Professions 1 <1%
Other 5 4%
Unknown 8 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 30 July 2013.
All research outputs
#1,786,568
of 25,373,627 outputs
Outputs from Bioinformatics
#992
of 12,808 outputs
Outputs of similar age
#14,832
of 207,874 outputs
Outputs of similar age from Bioinformatics
#19
of 214 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,808 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 92% 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 207,874 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 92% of its contemporaries.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.