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MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis

Overview of attention for article published in Genome Biology, October 2014
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Mentioned by

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1 X user

Citations

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51 Dimensions

Readers on

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98 Mendeley
citeulike
4 CiteULike
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Title
MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis
Published in
Genome Biology, October 2014
DOI 10.1186/s13059-014-0489-9
Pubmed ID
Authors

Peilin Jia, Quan Wang, Qingxia Chen, Katherine E Hutchinson, William Pao, Zhongming Zhao

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Brazil 1 1%
Germany 1 1%
China 1 1%
Netherlands 1 1%
Unknown 90 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 30%
Researcher 26 27%
Student > Bachelor 9 9%
Student > Master 5 5%
Student > Doctoral Student 4 4%
Other 12 12%
Unknown 13 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 35%
Biochemistry, Genetics and Molecular Biology 23 23%
Computer Science 9 9%
Engineering 4 4%
Mathematics 3 3%
Other 9 9%
Unknown 16 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 September 2016.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Genome Biology
#4,269
of 4,467 outputs
Outputs of similar age
#200,668
of 274,082 outputs
Outputs of similar age from Genome Biology
#117
of 119 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% 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 274,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.