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ENVE: a novel computational framework characterizes copy-number mutational landscapes in colorectal cancers from African American patients

Overview of attention for article published in Genome Medicine, July 2015
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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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet
twitter
8 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
31 Mendeley
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Title
ENVE: a novel computational framework characterizes copy-number mutational landscapes in colorectal cancers from African American patients
Published in
Genome Medicine, July 2015
DOI 10.1186/s13073-015-0192-9
Pubmed ID
Authors

Vinay Varadan, Salendra Singh, Arman Nosrati, Lakshmeswari Ravi, James Lutterbaugh, Jill S. Barnholtz-Sloan, Sanford D. Markowitz, Joseph E. Willis, Kishore Guda

Abstract

Reliable detection of somatic copy-number alterations (sCNAs) in tumors using whole-exome sequencing (WES) remains challenging owing to technical (inherent noise) and sample-associated variability in WES data. We present a novel computational framework, ENVE, which models inherent noise in any WES dataset, enabling robust detection of sCNAs across WES platforms. ENVE achieved high concordance with orthogonal sCNA assessments across two colorectal cancer (CRC) WES datasets, and consistently outperformed a best-in-class algorithm, Control-FREEC. We subsequently used ENVE to characterize global sCNA landscapes in African American CRCs, identifying genomic aberrations potentially associated with CRC pathogenesis in this population. ENVE is downloadable at https://github.com/ENVE-Tools/ENVE.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 32%
Student > Bachelor 5 16%
Student > Ph. D. Student 3 10%
Professor > Associate Professor 2 6%
Other 2 6%
Other 6 19%
Unknown 3 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 39%
Agricultural and Biological Sciences 6 19%
Engineering 4 13%
Computer Science 2 6%
Medicine and Dentistry 2 6%
Other 2 6%
Unknown 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 20 May 2016.
All research outputs
#1,556,998
of 16,533,785 outputs
Outputs from Genome Medicine
#374
of 1,107 outputs
Outputs of similar age
#26,839
of 237,652 outputs
Outputs of similar age from Genome Medicine
#2
of 5 outputs
Altmetric has tracked 16,533,785 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,107 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has gotten more attention than average, scoring higher than 66% 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 237,652 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 88% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.