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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, 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 (82nd percentile)

Mentioned by

blogs
3 blogs
twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
318 Dimensions

Readers on

mendeley
513 Mendeley
citeulike
14 CiteULike
connotea
1 Connotea
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Title
EMIRGE: reconstruction of full-length ribosomal genes from microbial community short read sequencing data
Published in
Genome Biology, May 2011
DOI 10.1186/gb-2011-12-5-r44
Pubmed ID
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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 513 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 448 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 147 29%
Researcher 120 23%
Student > Master 55 11%
Student > Bachelor 32 6%
Professor > Associate Professor 23 4%
Other 82 16%
Unknown 54 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 257 50%
Biochemistry, Genetics and Molecular Biology 68 13%
Environmental Science 41 8%
Computer Science 22 4%
Immunology and Microbiology 19 4%
Other 41 8%
Unknown 65 13%
Attention Score in Context

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
#1,583,787
of 25,368,786 outputs
Outputs from Genome Biology
#1,292
of 4,467 outputs
Outputs of similar age
#6,591
of 123,489 outputs
Outputs of similar age from Genome Biology
#6
of 34 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd 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 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 123,489 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 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.