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Targeted next-generation sequencing for routine clinical screening of mutations

Overview of attention for article published in Genome Medicine, September 2011
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Title
Targeted next-generation sequencing for routine clinical screening of mutations
Published in
Genome Medicine, September 2011
DOI 10.1186/gm274
Pubmed ID
Authors

Jamie MJ Weaver, Paul AW Edwards

Abstract

In many fields it is now desirable to sequence large panels of genes for mutation, to aid management of patients. The need for extensive sample preparation means that current approaches for assessing mutation status in the clinical setting are limited. A recent publication demonstrates a single-step, targeted, true single-molecule sequencing approach to assessing the mutational status of BRCA1. Fragmented DNA samples are loaded directly onto a flow cell and sequenced, thus detecting both small- and large-scale mutations with minimal sample preparation and high accuracy.

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X Demographics

The data shown below were collected from the profiles of 2 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Netherlands 1 3%
China 1 3%
France 1 3%
Unknown 34 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 46%
Student > Ph. D. Student 9 23%
Student > Master 3 8%
Student > Bachelor 1 3%
Professor 1 3%
Other 4 10%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 54%
Biochemistry, Genetics and Molecular Biology 6 15%
Medicine and Dentistry 5 13%
Business, Management and Accounting 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 4 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 January 2012.
All research outputs
#15,517,992
of 25,374,647 outputs
Outputs from Genome Medicine
#1,380
of 1,585 outputs
Outputs of similar age
#90,437
of 136,926 outputs
Outputs of similar age from Genome Medicine
#15
of 15 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 12th percentile – i.e., 12% 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 136,926 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.