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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
6 X users
googleplus
1 Google+ user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
30 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 33%
Student > Bachelor 5 17%
Student > Ph. D. Student 3 10%
Other 2 7%
Professor 2 7%
Other 6 20%
Unknown 2 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 33%
Agricultural and Biological Sciences 6 20%
Engineering 4 13%
Computer Science 3 10%
Medicine and Dentistry 2 7%
Other 3 10%
Unknown 2 7%
Attention Score in Context

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
#2,617,180
of 25,394,081 outputs
Outputs from Genome Medicine
#603
of 1,587 outputs
Outputs of similar age
#32,577
of 275,632 outputs
Outputs of similar age from Genome Medicine
#17
of 41 outputs
Altmetric has tracked 25,394,081 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,587 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 gotten more attention than average, scoring higher than 62% 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 275,632 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 41 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 60% of its contemporaries.