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MUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing framework

Overview of attention for article published in Genome Biology, October 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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4 X users

Citations

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62 Dimensions

Readers on

mendeley
102 Mendeley
citeulike
3 CiteULike
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Title
MUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing framework
Published in
Genome Biology, October 2014
DOI 10.1186/s13059-014-0474-3
Pubmed ID
Authors

Arif Harmanci, Joel Rozowsky, Mark Gerstein

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

Geographical breakdown

Country Count As %
United States 7 7%
United Kingdom 2 2%
Germany 1 <1%
Brazil 1 <1%
Italy 1 <1%
New Zealand 1 <1%
Australia 1 <1%
Unknown 88 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Researcher 26 25%
Student > Master 14 14%
Student > Bachelor 10 10%
Professor > Associate Professor 6 6%
Other 9 9%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 50%
Biochemistry, Genetics and Molecular Biology 18 18%
Computer Science 9 9%
Mathematics 4 4%
Medicine and Dentistry 3 3%
Other 6 6%
Unknown 11 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 July 2017.
All research outputs
#15,744,292
of 25,387,480 outputs
Outputs from Genome Biology
#3,962
of 4,468 outputs
Outputs of similar age
#137,725
of 264,755 outputs
Outputs of similar age from Genome Biology
#105
of 118 outputs
Altmetric has tracked 25,387,480 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 264,755 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.