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Mendeley readers
Attention Score in Context
Title |
QTrim: a novel tool for the quality trimming of sequence reads generated using the Roche/454 sequencing platform
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Published in |
BMC Bioinformatics, January 2014
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 2 | 20% |
Canada | 1 | 10% |
United States | 1 | 10% |
Cameroon | 1 | 10% |
Sweden | 1 | 10% |
United Kingdom | 1 | 10% |
Mexico | 1 | 10% |
France | 1 | 10% |
Unknown | 1 | 10% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 70% |
Members of the public | 3 | 30% |
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
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.