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QTrim: a novel tool for the quality trimming of sequence reads generated using the Roche/454 sequencing platform

Overview of attention for article published in BMC Bioinformatics, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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10 X users
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2 Facebook pages

Citations

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23 Dimensions

Readers on

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93 Mendeley
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3 CiteULike
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Title
QTrim: a novel tool for the quality trimming of sequence reads generated using the Roche/454 sequencing platform
Published in
BMC Bioinformatics, January 2014
DOI 10.1186/1471-2105-15-33
Pubmed ID
Authors

Ram Krishna Shrestha, Baruch Lubinsky, Vijay B Bansode, Mónica BJ Moinz, Grace P McCormack, Simon A Travers

Abstract

Many high throughput sequencing (HTS) approaches, such as the Roche/454 platform, produce sequences in which the quality of the sequence (as measured by a Phred-like quality scores) decreases linearly across a sequence read. Undertaking quality trimming of this data is essential to enable confidence in the results of subsequent downstream analysis. Here, we have developed a novel, highly sensitive and accurate approach (QTrim) for the quality trimming of sequence reads generated using the Roche/454 sequencing platform (or any platform with long reads that outputs Phred-like quality scores).

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Switzerland 1 1%
Malaysia 1 1%
Italy 1 1%
Sweden 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 86 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 28%
Student > Ph. D. Student 21 23%
Student > Doctoral Student 16 17%
Student > Master 12 13%
Student > Postgraduate 4 4%
Other 10 11%
Unknown 4 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 48%
Biochemistry, Genetics and Molecular Biology 18 19%
Computer Science 15 16%
Immunology and Microbiology 5 5%
Environmental Science 2 2%
Other 2 2%
Unknown 6 6%
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 24 June 2014.
All research outputs
#5,402,755
of 22,741,406 outputs
Outputs from BMC Bioinformatics
#1,924
of 7,267 outputs
Outputs of similar age
#63,039
of 307,435 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 96 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,267 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 73% 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 307,435 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 96 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.