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Detection of low prevalence somatic mutations in solid tumors with ultra-deep targeted sequencing

Overview of attention for article published in Genome Biology, December 2011
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  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users
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3 patents
googleplus
1 Google+ user

Citations

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81 Dimensions

Readers on

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201 Mendeley
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7 CiteULike
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Title
Detection of low prevalence somatic mutations in solid tumors with ultra-deep targeted sequencing
Published in
Genome Biology, December 2011
DOI 10.1186/gb-2011-12-12-r124
Pubmed ID
Authors

Olivier Harismendy, Richard B Schwab, Lei Bao, Jeff Olson, Sophie Rozenzhak, Steve K Kotsopoulos, Stephanie Pond, Brian Crain, Mark S Chee, Karen Messer, Darren R Link, Kelly A Frazer

Abstract

Ultra-deep targeted sequencing (UDT-Seq) can identify subclonal somatic mutations in tumor samples. Early assays' limited breadth and depth restrict their clinical utility. Here, we target 71 kb of mutational hotspots in 42 cancer genes. We present novel methods enhancing both laboratory workflow and mutation detection. We evaluate UDT-Seq true sensitivity and specificity (> 94% and > 99%, respectively) for low prevalence mutations in a mixing experiment and demonstrate its utility using six tumor samples. With an improved performance when run on the Illumina Miseq, the UDT-Seq assay is well suited for clinical applications to guide therapy and study clonal selection in heterogeneous samples.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 10 5%
United States 4 2%
Malaysia 1 <1%
Australia 1 <1%
Sweden 1 <1%
Canada 1 <1%
Chile 1 <1%
Singapore 1 <1%
Belarus 1 <1%
Other 2 <1%
Unknown 178 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 65 32%
Student > Ph. D. Student 42 21%
Student > Master 25 12%
Other 16 8%
Professor > Associate Professor 10 5%
Other 30 15%
Unknown 13 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 102 51%
Biochemistry, Genetics and Molecular Biology 29 14%
Medicine and Dentistry 28 14%
Computer Science 10 5%
Engineering 7 3%
Other 10 5%
Unknown 15 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 August 2023.
All research outputs
#6,373,631
of 25,374,647 outputs
Outputs from Genome Biology
#3,049
of 4,467 outputs
Outputs of similar age
#51,740
of 248,898 outputs
Outputs of similar age from Genome Biology
#26
of 41 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
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 is in the 31st percentile – i.e., 31% 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 248,898 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 79% 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 is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.