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MetAMOS: a modular and open source metagenomic assembly and analysis pipeline

Overview of attention for article published in Genome Biology, January 2013
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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 (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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1 blog
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Citations

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189 Dimensions

Readers on

mendeley
595 Mendeley
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9 CiteULike
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Title
MetAMOS: a modular and open source metagenomic assembly and analysis pipeline
Published in
Genome Biology, January 2013
DOI 10.1186/gb-2013-14-1-r2
Pubmed ID
Authors

Todd J Treangen, Sergey Koren, Daniel D Sommer, Bo Liu, Irina Astrovskaya, Brian Ondov, Aaron E Darling, Adam M Phillippy, Mihai Pop

Abstract

We describe MetAMOS, an open source and modular metagenomic assembly and analysis pipeline. MetAMOS represents an important step towards fully automated metagenomic analysis, starting with next-generation sequencing reads and producing genomic scaffolds, open-reading frames and taxonomic or functional annotations. MetAMOS can aid in reducing assembly errors, commonly encountered when assembling metagenomic samples, and improves taxonomic assignment accuracy while also reducing computational cost. MetAMOS can be downloaded from: https://github.com/treangen/MetAMOS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 595 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 4%
United Kingdom 9 2%
France 7 1%
Brazil 7 1%
Germany 5 <1%
Canada 3 <1%
India 2 <1%
Italy 2 <1%
Japan 2 <1%
Other 13 2%
Unknown 524 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 160 27%
Researcher 141 24%
Student > Master 83 14%
Student > Bachelor 35 6%
Student > Postgraduate 27 5%
Other 99 17%
Unknown 50 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 307 52%
Biochemistry, Genetics and Molecular Biology 88 15%
Computer Science 51 9%
Immunology and Microbiology 26 4%
Environmental Science 16 3%
Other 44 7%
Unknown 63 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 31 May 2015.
All research outputs
#1,479,299
of 25,373,627 outputs
Outputs from Genome Biology
#1,182
of 4,467 outputs
Outputs of similar age
#13,800
of 307,792 outputs
Outputs of similar age from Genome Biology
#18
of 50 outputs
Altmetric has tracked 25,373,627 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 4,467 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 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 307,792 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 95% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.