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Estimation of bacterial diversity using next generation sequencing of 16S rDNA: a comparison of different workflows

Overview of attention for article published in BMC Bioinformatics, December 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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8 X users

Citations

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52 Dimensions

Readers on

mendeley
245 Mendeley
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8 CiteULike
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Title
Estimation of bacterial diversity using next generation sequencing of 16S rDNA: a comparison of different workflows
Published in
BMC Bioinformatics, December 2011
DOI 10.1186/1471-2105-12-473
Pubmed ID
Authors

Jorge Barriuso, Jose R Valverde, Rafael P Mellado

Abstract

Next generation sequencing (NGS) enables a more comprehensive analysis of bacterial diversity from complex environmental samples. NGS data can be analysed using a variety of workflows. We test several simple and complex workflows, including frequently used as well as recently published tools, and report on their respective accuracy and efficiency under various conditions covering different sequence lengths, number of sequences and real world experimental data from rhizobacterial populations of glyphosate-tolerant maize treated or untreated with two different herbicides representative of differential diversity studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Brazil 3 1%
Spain 3 1%
Italy 2 <1%
Australia 2 <1%
France 2 <1%
Germany 2 <1%
Estonia 2 <1%
Sweden 2 <1%
Other 7 3%
Unknown 213 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 78 32%
Student > Ph. D. Student 53 22%
Student > Master 19 8%
Student > Bachelor 19 8%
Professor > Associate Professor 15 6%
Other 45 18%
Unknown 16 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 149 61%
Biochemistry, Genetics and Molecular Biology 15 6%
Environmental Science 15 6%
Computer Science 9 4%
Immunology and Microbiology 9 4%
Other 22 9%
Unknown 26 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 September 2012.
All research outputs
#5,861,987
of 23,864,690 outputs
Outputs from BMC Bioinformatics
#2,033
of 7,454 outputs
Outputs of similar age
#50,417
of 247,762 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 99 outputs
Altmetric has tracked 23,864,690 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 72% 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 247,762 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 99 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 66% of its contemporaries.