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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Australia | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
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
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.