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DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer

Overview of attention for article published in Genome Biology (Online Edition), January 2012
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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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
7 tweeters

Citations

dimensions_citation
188 Dimensions

Readers on

mendeley
232 Mendeley
citeulike
13 CiteULike
Title
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer
Published in
Genome Biology (Online Edition), January 2012
DOI 10.1186/gb-2012-13-12-r124
Pubmed ID
Authors

Ali Bashashati, Gholamreza Haffari, Jiarui Ding, Gavin Ha, Kenneth Lui, Jamie Rosner, David G Huntsman, Carlos Caldas, Samuel A Aparicio, Sohrab P Shah

Abstract

Simultaneous interrogation of tumor genomes and transcriptomes is underway in unprecedented global efforts. Yet, despite the essential need to separate driver mutations modulating gene expression networks from transcriptionally inert passenger mutations, robust computational methods to ascertain the impact of individual mutations on transcriptional networks are underdeveloped. We introduce a novel computational framework, DriverNet, to identify likely driver mutations by virtue of their effect on mRNA expression networks. Application to four cancer datasets reveals the prevalence of rare candidate driver mutations associated with disrupted transcriptional networks and a simultaneous modulation of oncogenic and metabolic networks, induced by copy number co-modification of adjacent oncogenic and metabolic drivers. DriverNet is available on Bioconductor or at http://compbio.bccrc.ca/software/drivernet/.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Canada 4 2%
Germany 2 <1%
France 2 <1%
Singapore 2 <1%
United Kingdom 2 <1%
Hong Kong 1 <1%
Brazil 1 <1%
Korea, Republic of 1 <1%
Other 2 <1%
Unknown 210 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 28%
Researcher 46 20%
Student > Master 25 11%
Student > Bachelor 22 9%
Student > Postgraduate 12 5%
Other 38 16%
Unknown 25 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 35%
Computer Science 44 19%
Biochemistry, Genetics and Molecular Biology 44 19%
Medicine and Dentistry 15 6%
Mathematics 7 3%
Other 14 6%
Unknown 27 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 27 April 2017.
All research outputs
#2,514,940
of 21,342,999 outputs
Outputs from Genome Biology (Online Edition)
#2,016
of 4,004 outputs
Outputs of similar age
#31,131
of 292,621 outputs
Outputs of similar age from Genome Biology (Online Edition)
#100
of 187 outputs
Altmetric has tracked 21,342,999 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,004 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.3. This one is in the 49th percentile – i.e., 49% 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 292,621 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 187 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.