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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 (Online Edition), January 2011
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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 (85th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 tweeters
patent
2 patents
googleplus
1 Google+ user

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
194 Mendeley
citeulike
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 (Online Edition), January 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.

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 194 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%
Canada 1 <1%
Sweden 1 <1%
Chile 1 <1%
Australia 1 <1%
Belarus 1 <1%
Singapore 1 <1%
China 1 <1%
Other 2 1%
Unknown 171 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 33%
Student > Ph. D. Student 41 21%
Student > Master 23 12%
Other 16 8%
Professor > Associate Professor 10 5%
Other 29 15%
Unknown 11 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 101 52%
Medicine and Dentistry 27 14%
Biochemistry, Genetics and Molecular Biology 27 14%
Computer Science 10 5%
Engineering 7 4%
Other 10 5%
Unknown 12 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 November 2019.
All research outputs
#3,026,674
of 17,814,645 outputs
Outputs from Genome Biology (Online Edition)
#2,122
of 3,667 outputs
Outputs of similar age
#33,528
of 226,155 outputs
Outputs of similar age from Genome Biology (Online Edition)
#100
of 184 outputs
Altmetric has tracked 17,814,645 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,667 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one is in the 42nd percentile – i.e., 42% 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 226,155 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 85% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.