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Kraken: ultrafast metagenomic sequence classification using exact alignments

Overview of attention for article published in Genome Biology, March 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
5 news outlets
blogs
7 blogs
policy
1 policy source
twitter
99 X users
patent
15 patents
facebook
2 Facebook pages
wikipedia
4 Wikipedia pages
googleplus
3 Google+ users
q&a
1 Q&A thread

Citations

dimensions_citation
3456 Dimensions

Readers on

mendeley
3372 Mendeley
citeulike
13 CiteULike
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Title
Kraken: ultrafast metagenomic sequence classification using exact alignments
Published in
Genome Biology, March 2014
DOI 10.1186/gb-2014-15-3-r46
Pubmed ID
Authors

Derrick E Wood, Steven L Salzberg

Abstract

Kraken is an ultrafast and highly accurate program for assigning taxonomic labels to metagenomic DNA sequences. Previous programs designed for this task have been relatively slow and computationally expensive, forcing researchers to use faster abundance estimation programs, which only classify small subsets of metagenomic data. Using exact alignment of k-mers, Kraken achieves classification accuracy comparable to the fastest BLAST program. In its fastest mode, Kraken classifies 100 base pair reads at a rate of over 4.1 million reads per minute, 909 times faster than Megablast and 11 times faster than the abundance estimation program MetaPhlAn. Kraken is available at http://ccb.jhu.edu/software/kraken/.

X Demographics

X Demographics

The data shown below were collected from the profiles of 99 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 3,372 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 42 1%
Germany 15 <1%
Brazil 11 <1%
United Kingdom 10 <1%
France 6 <1%
Australia 6 <1%
Sweden 5 <1%
Norway 4 <1%
Canada 4 <1%
Other 27 <1%
Unknown 3242 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 738 22%
Researcher 649 19%
Student > Master 449 13%
Student > Bachelor 334 10%
Student > Doctoral Student 147 4%
Other 443 13%
Unknown 612 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 987 29%
Biochemistry, Genetics and Molecular Biology 753 22%
Computer Science 222 7%
Immunology and Microbiology 173 5%
Medicine and Dentistry 108 3%
Other 395 12%
Unknown 734 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 167. 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 09 February 2024.
All research outputs
#244,068
of 25,529,543 outputs
Outputs from Genome Biology
#85
of 4,486 outputs
Outputs of similar age
#1,967
of 236,530 outputs
Outputs of similar age from Genome Biology
#3
of 65 outputs
Altmetric has tracked 25,529,543 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 98% 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 236,530 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 99% of its contemporaries.
We're also able to compare this research output to 65 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 96% of its contemporaries.