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CloVR-ITS: Automated internal transcribed spacer amplicon sequence analysis pipeline for the characterization of fungal microbiota

Overview of attention for article published in Microbiome, February 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

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6 X users
facebook
1 Facebook page

Citations

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51 Dimensions

Readers on

mendeley
171 Mendeley
citeulike
4 CiteULike
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Title
CloVR-ITS: Automated internal transcribed spacer amplicon sequence analysis pipeline for the characterization of fungal microbiota
Published in
Microbiome, February 2013
DOI 10.1186/2049-2618-1-6
Pubmed ID
Authors

James Robert White, Cynthia Maddox, Owen White, Samuel V Angiuoli, W Florian Fricke

Abstract

Besides the development of comprehensive tools for high-throughput 16S ribosomal RNA amplicon sequence analysis, there exists a growing need for protocols emphasizing alternative phylogenetic markers such as those representing eukaryotic organisms.

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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
France 2 1%
Mexico 2 1%
Germany 1 <1%
Italy 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Switzerland 1 <1%
Czechia 1 <1%
Other 3 2%
Unknown 153 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 31%
Student > Ph. D. Student 42 25%
Student > Master 24 14%
Student > Bachelor 11 6%
Student > Doctoral Student 6 4%
Other 19 11%
Unknown 16 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 51%
Biochemistry, Genetics and Molecular Biology 22 13%
Medicine and Dentistry 11 6%
Immunology and Microbiology 10 6%
Computer Science 6 4%
Other 15 9%
Unknown 19 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 March 2013.
All research outputs
#6,759,103
of 22,694,633 outputs
Outputs from Microbiome
#1,246
of 1,420 outputs
Outputs of similar age
#74,997
of 283,057 outputs
Outputs of similar age from Microbiome
#7
of 10 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 283,057 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.