↓ Skip to main content

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

Overview of attention for article published in Genome Biology (Online Edition), March 2021
Altmetric Badge

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)

Mentioned by

blogs
1 blog
twitter
53 tweeters

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
89 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox
Published in
Genome Biology (Online Edition), 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

Twitter Demographics

The data shown below were collected from the profiles of 53 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 24%
Student > Ph. D. Student 14 16%
Student > Master 10 11%
Student > Bachelor 7 8%
Other 5 6%
Other 10 11%
Unknown 22 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 16%
Immunology and Microbiology 13 15%
Computer Science 9 10%
Agricultural and Biological Sciences 8 9%
Unspecified 3 3%
Other 13 15%
Unknown 29 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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
#879,439
of 20,767,801 outputs
Outputs from Genome Biology (Online Edition)
#750
of 3,979 outputs
Outputs of similar age
#24,121
of 328,536 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 20,767,801 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 3,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done well, scoring higher than 81% 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 328,536 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 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