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Construction of habitat-specific training sets to achieve species-level assignment in 16S rRNA gene datasets

Overview of attention for article published in Microbiome, May 2020
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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 (85th percentile)

Mentioned by

blogs
1 blog
twitter
15 tweeters
video
1 video uploader

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Construction of habitat-specific training sets to achieve species-level assignment in 16S rRNA gene datasets
Published in
Microbiome, May 2020
DOI 10.1186/s40168-020-00841-w
Pubmed ID
Authors

Isabel F. Escapa, Yanmei Huang, Tsute Chen, Maoxuan Lin, Alexis Kokaras, Floyd E. Dewhirst, Katherine P. Lemon

Twitter Demographics

The data shown below were collected from the profiles of 15 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 31%
Student > Ph. D. Student 5 14%
Researcher 4 11%
Student > Postgraduate 3 9%
Professor 1 3%
Other 2 6%
Unknown 9 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 26%
Environmental Science 4 11%
Immunology and Microbiology 4 11%
Biochemistry, Genetics and Molecular Biology 2 6%
Psychology 1 3%
Other 4 11%
Unknown 11 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 19 September 2020.
All research outputs
#1,572,410
of 19,196,040 outputs
Outputs from Microbiome
#618
of 1,159 outputs
Outputs of similar age
#41,197
of 292,361 outputs
Outputs of similar age from Microbiome
#1
of 1 outputs
Altmetric has tracked 19,196,040 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,159 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.3. This one is in the 46th percentile – i.e., 46% 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 292,361 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 85% of its contemporaries.
We're also able to compare this research output to 1 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