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Highly improved homopolymer aware nucleotide-protein alignments with 454 data

Overview of attention for article published in BMC Bioinformatics, September 2012
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1 tweeter

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17 Mendeley
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Title
Highly improved homopolymer aware nucleotide-protein alignments with 454 data
Published in
BMC Bioinformatics, September 2012
DOI 10.1186/1471-2105-13-230
Pubmed ID
Authors

Fredrik Lysholm, Fredrik Lysholm

Abstract

Roche 454 sequencing is the leading sequencing technology for producing long read high throughput sequence data. Unlike most methods where sequencing errors translate to base uncertainties, 454 sequencing inaccuracies create nucleotide gaps. These gaps are particularly troublesome for translated search tools such as BLASTx where they introduce frame-shifts and result in regions of decreased identity and/or terminated alignments, which affect further analysis.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 12%
Spain 1 6%
Switzerland 1 6%
Japan 1 6%
Sweden 1 6%
Unknown 11 65%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 47%
Student > Ph. D. Student 4 24%
Professor 1 6%
Student > Bachelor 1 6%
Other 1 6%
Other 2 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 71%
Biochemistry, Genetics and Molecular Biology 2 12%
Computer Science 2 12%
Social Sciences 1 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 September 2012.
All research outputs
#3,166,119
of 4,505,030 outputs
Outputs from BMC Bioinformatics
#2,143
of 2,646 outputs
Outputs of similar age
#48,118
of 72,959 outputs
Outputs of similar age from BMC Bioinformatics
#65
of 86 outputs
Altmetric has tracked 4,505,030 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,646 research outputs from this source. They receive a mean Attention Score of 4.2. 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 72,959 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.