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Hill-based dissimilarity indices and null models for analysis of microbial community assembly

Overview of attention for article published in Microbiome, September 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 (84th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
video
1 YouTube creator

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Hill-based dissimilarity indices and null models for analysis of microbial community assembly
Published in
Microbiome, September 2020
DOI 10.1186/s40168-020-00909-7
Pubmed ID
Authors

Oskar Modin, Raquel Liébana, Soroush Saheb-Alam, Britt-Marie Wilén, Carolina Suarez, Malte Hermansson, Frank Persson

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 11 21%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Other 7 13%
Unknown 11 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 19%
Environmental Science 9 17%
Biochemistry, Genetics and Molecular Biology 5 10%
Veterinary Science and Veterinary Medicine 3 6%
Immunology and Microbiology 3 6%
Other 7 13%
Unknown 15 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 13 September 2021.
All research outputs
#2,224,732
of 22,681,577 outputs
Outputs from Microbiome
#882
of 1,420 outputs
Outputs of similar age
#61,610
of 398,749 outputs
Outputs of similar age from Microbiome
#29
of 34 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 40.0. This one is in the 37th percentile – i.e., 37% 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 398,749 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 84% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.