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EMu: probabilistic inference of mutational processes and their localization in the cancer genome

Overview of attention for article published in Genome Biology, April 2013
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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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog
twitter
10 X users
patent
1 patent
peer_reviews
1 peer review site

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
187 Mendeley
citeulike
8 CiteULike
Title
EMu: probabilistic inference of mutational processes and their localization in the cancer genome
Published in
Genome Biology, April 2013
DOI 10.1186/gb-2013-14-4-r39
Pubmed ID
Authors

Andrej Fischer, Christopher JR Illingworth, Peter J Campbell, Ville Mustonen

Abstract

The spectrum of mutations discovered in cancer genomes can be explained by the activity of a few elementary mutational processes. We present a novel probabilistic method, EMu, to infer the mutational signatures of these processes from a collection of sequenced tumors. EMu naturally incorporates the tumor-specific opportunity for different mutation types according to sequence composition. Applying EMu to breast cancer data, we derive detailed maps of the activity of each process, both genome-wide and within specific local regions of the genome. Our work provides new opportunities to study the mutational processes underlying cancer development. EMu is available at http://www.sanger.ac.uk/resources/software/emu/.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

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

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Australia 2 1%
Germany 1 <1%
Sweden 1 <1%
United States 1 <1%
Unknown 179 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 27%
Researcher 42 22%
Student > Bachelor 20 11%
Student > Master 19 10%
Other 8 4%
Other 27 14%
Unknown 21 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 34%
Biochemistry, Genetics and Molecular Biology 44 24%
Computer Science 17 9%
Medicine and Dentistry 12 6%
Mathematics 10 5%
Other 16 9%
Unknown 25 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 12 March 2024.
All research outputs
#1,911,998
of 25,605,018 outputs
Outputs from Genome Biology
#1,595
of 4,493 outputs
Outputs of similar age
#15,340
of 204,688 outputs
Outputs of similar age from Genome Biology
#17
of 49 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,493 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 64% 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 204,688 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 92% of its contemporaries.
We're also able to compare this research output to 49 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.