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Improving mapping and SNP-calling performance in multiplexed targeted next-generation sequencing

Overview of attention for article published in BMC Genomics, August 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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8 X users

Citations

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6 Dimensions

Readers on

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117 Mendeley
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7 CiteULike
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Title
Improving mapping and SNP-calling performance in multiplexed targeted next-generation sequencing
Published in
BMC Genomics, August 2012
DOI 10.1186/1471-2164-13-417
Pubmed ID
Authors

Abdou ElSharawy, Michael Forster, Nadine Schracke, Andreas Keller, Ingo Thomsen, Britt-Sabina Petersen, Björn Stade, Peer Stähler, Stefan Schreiber, Philip Rosenstiel, Andre Franke

Abstract

Compared to classical genotyping, targeted next-generation sequencing (tNGS) can be custom-designed to interrogate entire genomic regions of interest, in order to detect novel as well as known variants. To bring down the per-sample cost, one approach is to pool barcoded NGS libraries before sample enrichment. Still, we lack a complete understanding of how this multiplexed tNGS approach and the varying performance of the ever-evolving analytical tools can affect the quality of variant discovery. Therefore, we evaluated the impact of different software tools and analytical approaches on the discovery of single nucleotide polymorphisms (SNPs) in multiplexed tNGS data. To generate our own test model, we combined a sequence capture method with NGS in three experimental stages of increasing complexity (E. coli genes, multiplexed E. coli, and multiplexed HapMap BRCA1/2 regions).

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 9%
United Kingdom 3 3%
Netherlands 2 2%
Brazil 2 2%
Germany 1 <1%
Finland 1 <1%
Canada 1 <1%
Australia 1 <1%
Denmark 1 <1%
Other 3 3%
Unknown 92 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 26%
Researcher 29 25%
Student > Master 15 13%
Student > Postgraduate 9 8%
Professor > Associate Professor 9 8%
Other 20 17%
Unknown 5 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 63%
Biochemistry, Genetics and Molecular Biology 11 9%
Computer Science 6 5%
Medicine and Dentistry 6 5%
Engineering 2 2%
Other 5 4%
Unknown 13 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 August 2012.
All research outputs
#6,599,307
of 23,340,595 outputs
Outputs from BMC Genomics
#2,939
of 10,745 outputs
Outputs of similar age
#46,862
of 170,400 outputs
Outputs of similar age from BMC Genomics
#34
of 116 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,745 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 71% 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 170,400 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 116 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 71% of its contemporaries.