↓ Skip to main content

PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors

Overview of attention for article published in Genome Biology, February 2015
Altmetric Badge

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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
32 X users
patent
3 patents
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
2 Google+ users

Citations

dimensions_citation
381 Dimensions

Readers on

mendeley
454 Mendeley
citeulike
7 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors
Published in
Genome Biology, February 2015
DOI 10.1186/s13059-015-0602-8
Pubmed ID
Authors

Amit G Deshwar, Shankar Vembu, Christina K Yung, Gun Ho Jang, Lincoln Stein, Quaid Morris

Abstract

Tumors often contain multiple subpopulations of cancerous cells defined by distinct somatic mutations. We describe a new method, PhyloWGS, which can be applied to whole-genome sequencing data from one or more tumor samples to reconstruct complete genotypes of these subpopulations based on variant allele frequencies (VAFs) of point mutations and population frequencies of structural variations. We introduce a principled phylogenic correction for VAFs in loci affected by copy number alterations and we show that this correction greatly improves subclonal reconstruction compared to existing methods. PhyloWGS is free, open-source software, available at https://github.com/morrislab/phylowgs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 454 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 3%
Germany 2 <1%
Italy 2 <1%
Sweden 2 <1%
Canada 2 <1%
United Kingdom 2 <1%
Korea, Republic of 1 <1%
Ghana 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 428 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 112 25%
Researcher 108 24%
Student > Bachelor 42 9%
Student > Master 38 8%
Student > Doctoral Student 24 5%
Other 60 13%
Unknown 70 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 121 27%
Agricultural and Biological Sciences 118 26%
Computer Science 53 12%
Medicine and Dentistry 26 6%
Mathematics 21 5%
Other 39 9%
Unknown 76 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 December 2021.
All research outputs
#1,331,530
of 25,371,288 outputs
Outputs from Genome Biology
#1,037
of 4,467 outputs
Outputs of similar age
#18,708
of 368,290 outputs
Outputs of similar age from Genome Biology
#17
of 65 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 76% 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 368,290 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 94% of its contemporaries.
We're also able to compare this research output to 65 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 73% of its contemporaries.