↓ Skip to main content

DESMAN: a new tool for de novo extraction of strains from metagenomes

Overview of attention for article published in Genome Biology, September 2017
Altmetric Badge

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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
twitter
157 X users
facebook
1 Facebook page

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
364 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
DESMAN: a new tool for de novo extraction of strains from metagenomes
Published in
Genome Biology, September 2017
DOI 10.1186/s13059-017-1309-9
Pubmed ID
Authors

Christopher Quince, Tom O. Delmont, Sébastien Raguideau, Johannes Alneberg, Aaron E. Darling, Gavin Collins, A. Murat Eren

Abstract

We introduce DESMAN for De novo Extraction of Strains from Metagenomes. Large multi-sample metagenomes are being generated but strain variation results in fragmentary co-assemblies. Current algorithms can bin contigs into metagenome-assembled genomes but are unable to resolve strain-level variation. DESMAN identifies variants in core genes and uses co-occurrence across samples to link variants into haplotypes and abundance profiles. These are then searched for against non-core genes to determine the accessory genome of each strain. We validated DESMAN on a complex 50-species 210-genome 96-sample synthetic mock data set and then applied it to the Tara Oceans microbiome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 157 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 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 364 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 93 26%
Researcher 73 20%
Student > Master 43 12%
Student > Doctoral Student 18 5%
Student > Bachelor 18 5%
Other 52 14%
Unknown 67 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 121 33%
Biochemistry, Genetics and Molecular Biology 68 19%
Computer Science 28 8%
Immunology and Microbiology 24 7%
Environmental Science 15 4%
Other 29 8%
Unknown 79 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 94. 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 03 September 2020.
All research outputs
#457,223
of 25,728,350 outputs
Outputs from Genome Biology
#246
of 4,508 outputs
Outputs of similar age
#9,441
of 326,660 outputs
Outputs of similar age from Genome Biology
#2
of 61 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 94% 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 326,660 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 97% of its contemporaries.
We're also able to compare this research output to 61 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.