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EMIRGE: reconstruction of full-length ribosomal genes from microbial community short read sequencing data

Overview of attention for article published in Genome Biology (Online Edition), May 2011
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
3 blogs
twitter
6 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
307 Dimensions

Readers on

mendeley
509 Mendeley
citeulike
14 CiteULike
connotea
1 Connotea
Summary Blogs Twitter Facebook Dimensions citations
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Title
EMIRGE: reconstruction of full-length ribosomal genes from microbial community short read sequencing data
Published in
Genome Biology (Online Edition), May 2011
DOI 10.1186/gb-2011-12-5-r44
Pubmed ID
21595876
Authors

Christopher S Miller, Brett J Baker, Brian C Thomas, Steven W Singer, Jillian F Banfield

Abstract

Recovery of ribosomal small subunit genes by assembly of short read community DNA sequence data generally fails, making taxonomic characterization difficult. Here, we solve this problem with a novel iterative method, based on the expectation maximization algorithm, that reconstructs full-length small subunit gene sequences and provides estimates of relative taxon abundances. We apply the method to natural and simulated microbial communities, and correctly recover community structure from known and previously unreported rRNA gene sequences. An implementation of the method is freely available at https://github.com/csmiller/EMIRGE.

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Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 509 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 5%
United Kingdom 6 1%
Germany 4 <1%
Sweden 3 <1%
Italy 2 <1%
Brazil 2 <1%
Estonia 2 <1%
Spain 2 <1%
Korea, Republic of 2 <1%
Other 18 4%
Unknown 444 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 148 29%
Researcher 120 24%
Student > Master 55 11%
Student > Bachelor 32 6%
Professor > Associate Professor 23 5%
Other 80 16%
Unknown 51 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 257 50%
Biochemistry, Genetics and Molecular Biology 69 14%
Environmental Science 40 8%
Computer Science 22 4%
Immunology and Microbiology 19 4%
Other 40 8%
Unknown 62 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 28 August 2022.
All research outputs
#1,386,111
of 23,197,711 outputs
Outputs from Genome Biology (Online Edition)
#1,185
of 4,156 outputs
Outputs of similar age
#5,799
of 112,822 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 7 outputs
Altmetric has tracked 23,197,711 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 4,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one has gotten more attention than average, scoring higher than 71% 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 112,822 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 94% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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