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PANDAseq: paired-end assembler for illumina sequences

Overview of attention for article published in BMC Bioinformatics, February 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
18 X users
patent
8 patents

Citations

dimensions_citation
1784 Dimensions

Readers on

mendeley
1222 Mendeley
citeulike
9 CiteULike
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Title
PANDAseq: paired-end assembler for illumina sequences
Published in
BMC Bioinformatics, February 2012
DOI 10.1186/1471-2105-13-31
Pubmed ID
Authors

Andre P Masella, Andrea K Bartram, Jakub M Truszkowski, Daniel G Brown, Josh D Neufeld

Abstract

Illumina paired-end reads are used to analyse microbial communities by targeting amplicons of the 16S rRNA gene. Publicly available tools are needed to assemble overlapping paired-end reads while correcting mismatches and uncalled bases; many errors could be corrected to obtain higher sequence yields using quality information.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 1,222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 38 3%
Canada 8 <1%
Germany 5 <1%
Italy 5 <1%
United Kingdom 5 <1%
Denmark 3 <1%
France 3 <1%
Chile 2 <1%
Netherlands 2 <1%
Other 20 2%
Unknown 1131 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 301 25%
Researcher 261 21%
Student > Master 183 15%
Student > Bachelor 93 8%
Student > Doctoral Student 68 6%
Other 162 13%
Unknown 154 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 517 42%
Biochemistry, Genetics and Molecular Biology 156 13%
Environmental Science 94 8%
Medicine and Dentistry 60 5%
Immunology and Microbiology 51 4%
Other 142 12%
Unknown 202 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 10 November 2023.
All research outputs
#1,443,185
of 25,388,837 outputs
Outputs from BMC Bioinformatics
#187
of 7,688 outputs
Outputs of similar age
#9,630
of 252,946 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 67 outputs
Altmetric has tracked 25,388,837 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,688 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 252,946 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.