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PhyloToAST: Bioinformatics tools for species-level analysis and visualization of complex microbial datasets

Overview of attention for article published in Scientific Reports, June 2016
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
27 X users

Citations

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37 Dimensions

Readers on

mendeley
108 Mendeley
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Title
PhyloToAST: Bioinformatics tools for species-level analysis and visualization of complex microbial datasets
Published in
Scientific Reports, June 2016
DOI 10.1038/srep29123
Pubmed ID
Authors

Shareef M. Dabdoub, Megan L. Fellows, Akshay D. Paropkari, Matthew R. Mason, Sarandeep S. Huja, Alexandra A. Tsigarida, Purnima S. Kumar

Abstract

The 16S rRNA gene is widely used for taxonomic profiling of microbial ecosystems; and recent advances in sequencing chemistry have allowed extremely large numbers of sequences to be generated from minimal amounts of biological samples. Analysis speed and resolution of data to species-level taxa are two important factors in large-scale explorations of complex microbiomes using 16S sequencing. We present here new software, Phylogenetic Tools for Analysis of Species-level Taxa (PhyloToAST), that completely integrates with the QIIME pipeline to improve analysis speed, reduce primer bias (requiring two sequencing primers), enhance species-level analysis, and add new visualization tools. The code is free and open source, and can be accessed at http://phylotoast.org.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
Ireland 1 <1%
Canada 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 101 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 23 21%
Student > Master 15 14%
Student > Bachelor 11 10%
Professor 4 4%
Other 13 12%
Unknown 19 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 33%
Biochemistry, Genetics and Molecular Biology 18 17%
Environmental Science 6 6%
Computer Science 5 5%
Medicine and Dentistry 4 4%
Other 15 14%
Unknown 24 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 2018.
All research outputs
#1,701,461
of 25,388,177 outputs
Outputs from Scientific Reports
#15,939
of 140,497 outputs
Outputs of similar age
#30,645
of 366,739 outputs
Outputs of similar age from Scientific Reports
#448
of 3,767 outputs
Altmetric has tracked 25,388,177 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 140,497 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 88% 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 366,739 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 91% of its contemporaries.
We're also able to compare this research output to 3,767 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.