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Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences

Overview of attention for article published in Environmental Microbiome, May 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 559)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
1 blog
twitter
24 X users

Citations

dimensions_citation
392 Dimensions

Readers on

mendeley
329 Mendeley
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Title
Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences
Published in
Environmental Microbiome, May 2020
DOI 10.1186/s40793-020-00358-7
Pubmed ID
Authors

Franziska Wemheuer, Jessica A. Taylor, Rolf Daniel, Emma Johnston, Peter Meinicke, Torsten Thomas, Bernd Wemheuer

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 329 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 24%
Researcher 56 17%
Student > Master 38 12%
Student > Bachelor 18 5%
Student > Doctoral Student 14 4%
Other 38 12%
Unknown 87 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 26%
Biochemistry, Genetics and Molecular Biology 36 11%
Environmental Science 36 11%
Immunology and Microbiology 12 4%
Engineering 11 3%
Other 35 11%
Unknown 113 34%
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 27 April 2021.
All research outputs
#1,574,018
of 24,223,370 outputs
Outputs from Environmental Microbiome
#5
of 559 outputs
Outputs of similar age
#43,080
of 393,352 outputs
Outputs of similar age from Environmental Microbiome
#1
of 1 outputs
Altmetric has tracked 24,223,370 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 559 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 99% 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 393,352 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 89% 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