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Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox

Overview of attention for article published in Genome Biology, March 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog
twitter
52 X users

Citations

dimensions_citation
137 Dimensions

Readers on

mendeley
169 Mendeley
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Title
Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox
Published in
Genome Biology, March 2021
DOI 10.1186/s13059-021-02306-1
Pubmed ID
Authors

Jakob Wirbel, Konrad Zych, Morgan Essex, Nicolai Karcher, Ece Kartal, Guillem Salazar, Peer Bork, Shinichi Sunagawa, Georg Zeller

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 169 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 16%
Student > Ph. D. Student 26 15%
Student > Master 17 10%
Student > Bachelor 13 8%
Other 11 7%
Other 23 14%
Unknown 52 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 18%
Immunology and Microbiology 20 12%
Agricultural and Biological Sciences 18 11%
Computer Science 13 8%
Medicine and Dentistry 8 5%
Other 17 10%
Unknown 63 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 23 July 2021.
All research outputs
#1,178,652
of 25,837,817 outputs
Outputs from Genome Biology
#866
of 4,513 outputs
Outputs of similar age
#32,433
of 456,907 outputs
Outputs of similar age from Genome Biology
#30
of 92 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 80% 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 456,907 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 92% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.