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Patient-oriented gene set analysis for cancer mutation data

Overview of attention for article published in Genome Biology (Online Edition), January 2010
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Mentioned by

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Citations

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52 Dimensions

Readers on

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97 Mendeley
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10 CiteULike
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Title
Patient-oriented gene set analysis for cancer mutation data
Published in
Genome Biology (Online Edition), January 2010
DOI 10.1186/gb-2010-11-11-r112
Pubmed ID
Authors

Simina M Boca, Kenneth W Kinzler, Victor E Velculescu, Bert Vogelstein, Giovanni Parmigiani

Abstract

Recent research has revealed complex heterogeneous genomic landscapes in human cancers. However, mutations tend to occur within a core group of pathways and biological processes that can be grouped into gene sets. To better understand the significance of these pathways, we have developed an approach that initially scores each gene set at the patient rather than the gene level. In mutation analysis, these patient-oriented methods are more transparent, interpretable, and statistically powerful than traditional gene-oriented methods.

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 6%
Norway 1 1%
France 1 1%
Belgium 1 1%
Russia 1 1%
Germany 1 1%
Unknown 86 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 28%
Researcher 23 24%
Professor > Associate Professor 15 15%
Student > Postgraduate 6 6%
Student > Doctoral Student 6 6%
Other 16 16%
Unknown 4 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 52%
Biochemistry, Genetics and Molecular Biology 13 13%
Medicine and Dentistry 13 13%
Computer Science 9 9%
Mathematics 4 4%
Other 5 5%
Unknown 3 3%

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 16 December 2010.
All research outputs
#7,835,235
of 12,486,858 outputs
Outputs from Genome Biology (Online Edition)
#2,564
of 2,835 outputs
Outputs of similar age
#7,564,271
of 11,930,453 outputs
Outputs of similar age from Genome Biology (Online Edition)
#2,557
of 2,827 outputs
Altmetric has tracked 12,486,858 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one is in the 5th percentile – i.e., 5% 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 11,930,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,827 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.