↓ Skip to main content

Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions

Overview of attention for article published in Frontiers in Microbiology, May 2021
Altmetric Badge

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)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
18 X users

Readers on

mendeley
105 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
Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions
Published in
Frontiers in Microbiology, May 2021
DOI 10.3389/fmicb.2021.618856
Pubmed ID
Authors

Padhmanand Sudhakar, Kathleen Machiels, Bram Verstockt, Tamas Korcsmaros, Séverine Vermeire

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 13%
Student > Ph. D. Student 13 12%
Student > Master 13 12%
Other 5 5%
Student > Doctoral Student 4 4%
Other 16 15%
Unknown 40 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 13%
Biochemistry, Genetics and Molecular Biology 10 10%
Medicine and Dentistry 8 8%
Computer Science 7 7%
Immunology and Microbiology 7 7%
Other 16 15%
Unknown 43 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 22 June 2021.
All research outputs
#2,690,828
of 23,577,761 outputs
Outputs from Frontiers in Microbiology
#2,234
of 26,068 outputs
Outputs of similar age
#67,509
of 441,891 outputs
Outputs of similar age from Frontiers in Microbiology
#74
of 962 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,068 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 91% 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 441,891 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 962 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.