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iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes

Overview of attention for article published in Genome Medicine, December 2016
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
45 X users

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
111 Mendeley
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Title
iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes
Published in
Genome Medicine, December 2016
DOI 10.1186/s13073-016-0390-0
Pubmed ID
Authors

Chengliang Dong, Yunfei Guo, Hui Yang, Zeyu He, Xiaoming Liu, Kai Wang

Abstract

Cancer results from the acquisition of somatic driver mutations. Several computational tools can predict driver genes from population-scale genomic data, but tools for analyzing personal cancer genomes are underdeveloped. Here we developed iCAGES, a novel statistical framework that infers driver variants by integrating contributions from coding, non-coding, and structural variants, identifies driver genes by combining genomic information and prior biological knowledge, then generates prioritized drug treatment. Analysis on The Cancer Genome Atlas (TCGA) data showed that iCAGES predicts whether patients respond to drug treatment (P = 0.006 by Fisher's exact test) and long-term survival (P = 0.003 from Cox regression). iCAGES is available at http://icages.wglab.org .

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 108 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 19%
Student > Ph. D. Student 18 16%
Student > Master 15 14%
Other 9 8%
Student > Bachelor 6 5%
Other 25 23%
Unknown 17 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 29%
Agricultural and Biological Sciences 21 19%
Computer Science 11 10%
Medicine and Dentistry 9 8%
Engineering 4 4%
Other 9 8%
Unknown 25 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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 28 February 2017.
All research outputs
#476,207
of 25,383,225 outputs
Outputs from Genome Medicine
#84
of 1,579 outputs
Outputs of similar age
#10,039
of 432,167 outputs
Outputs of similar age from Genome Medicine
#3
of 29 outputs
Altmetric has tracked 25,383,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done particularly well, scoring higher than 94% 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 432,167 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 97% of its contemporaries.
We're also able to compare this research output to 29 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 93% of its contemporaries.