↓ Skip to main content

Modeling gene expression using chromatin features in various cellular contexts

Overview of attention for article published in Genome Biology, September 2012
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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
3 blogs
twitter
4 X users

Citations

dimensions_citation
241 Dimensions

Readers on

mendeley
578 Mendeley
citeulike
16 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
Modeling gene expression using chromatin features in various cellular contexts
Published in
Genome Biology, September 2012
DOI 10.1186/gb-2012-13-9-r53
Pubmed ID
Authors

Xianjun Dong, Melissa C Greven, Anshul Kundaje, Sarah Djebali, James B Brown, Chao Cheng, Thomas R Gingeras, Mark Gerstein, Roderic Guigó, Ewan Birney, Zhiping Weng

Abstract

Previous work has demonstrated that chromatin feature levels correlate with gene expression. The ENCODE project enables us to further explore this relationship using an unprecedented volume of data. Expression levels from more than 100,000 promoters were measured using a variety of high-throughput techniques applied to RNA extracted by different protocols from different cellular compartments of several human cell lines. ENCODE also generated the genome-wide mapping of eleven histone marks, one histone variant, and DNase I hypersensitivity sites in seven cell lines.

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 578 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 4%
United Kingdom 17 3%
Germany 9 2%
Spain 4 <1%
Italy 3 <1%
France 3 <1%
China 3 <1%
Netherlands 2 <1%
Australia 2 <1%
Other 14 2%
Unknown 499 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 177 31%
Researcher 165 29%
Student > Master 56 10%
Student > Bachelor 30 5%
Professor > Associate Professor 28 5%
Other 92 16%
Unknown 30 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 343 59%
Biochemistry, Genetics and Molecular Biology 99 17%
Computer Science 40 7%
Medicine and Dentistry 17 3%
Neuroscience 8 1%
Other 32 6%
Unknown 39 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 02 March 2018.
All research outputs
#1,651,680
of 25,368,786 outputs
Outputs from Genome Biology
#1,351
of 4,467 outputs
Outputs of similar age
#10,314
of 186,978 outputs
Outputs of similar age from Genome Biology
#18
of 56 outputs
Altmetric has tracked 25,368,786 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 69% 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 186,978 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 gotten more attention than average, scoring higher than 67% of its contemporaries.