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Model-based Analysis of ChIP-Seq (MACS)

Overview of attention for article published in Genome Biology, September 2008
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
4 news outlets
blogs
3 blogs
twitter
1 X user
patent
58 patents
wikipedia
7 Wikipedia pages
q&a
1 Q&A thread

Readers on

mendeley
6187 Mendeley
citeulike
69 CiteULike
connotea
11 Connotea
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Title
Model-based Analysis of ChIP-Seq (MACS)
Published in
Genome Biology, September 2008
DOI 10.1186/gb-2008-9-9-r137
Pubmed ID
Authors

Yong Zhang, Tao Liu, Clifford A Meyer, Jérôme Eeckhoute, David S Johnson, Bradley E Bernstein, Chad Nusbaum, Richard M Myers, Myles Brown, Wei Li, X Shirley Liu

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6,187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 104 2%
United Kingdom 36 <1%
Germany 24 <1%
France 13 <1%
Italy 11 <1%
Spain 9 <1%
China 9 <1%
Netherlands 8 <1%
Brazil 8 <1%
Other 60 <1%
Unknown 5905 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1740 28%
Researcher 1172 19%
Student > Master 596 10%
Student > Bachelor 488 8%
Student > Doctoral Student 315 5%
Other 757 12%
Unknown 1119 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 2055 33%
Biochemistry, Genetics and Molecular Biology 1883 30%
Medicine and Dentistry 251 4%
Computer Science 199 3%
Neuroscience 124 2%
Other 430 7%
Unknown 1245 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 70. 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 01 August 2024.
All research outputs
#646,251
of 26,315,660 outputs
Outputs from Genome Biology
#388
of 4,592 outputs
Outputs of similar age
#1,286
of 101,066 outputs
Outputs of similar age from Genome Biology
#1
of 31 outputs
Altmetric has tracked 26,315,660 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 91% 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 101,066 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 98% of its contemporaries.
We're also able to compare this research output to 31 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 96% of its contemporaries.