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Mining the microbiota to identify gut commensals modulating neuroinflammation in a mouse model of multiple sclerosis

Overview of attention for article published in Microbiome, October 2022
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
2 blogs
twitter
15 X users
video
1 YouTube creator

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Mining the microbiota to identify gut commensals modulating neuroinflammation in a mouse model of multiple sclerosis
Published in
Microbiome, October 2022
DOI 10.1186/s40168-022-01364-2
Pubmed ID
Authors

Paola Bianchimano, Graham J. Britton, David S. Wallach, Emma M. Smith, Laura M. Cox, Shirong Liu, Kacper Iwanowski, Howard L. Weiner, Jeremiah J. Faith, Jose C. Clemente, Stephanie K. Tankou

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 14%
Student > Doctoral Student 4 11%
Professor 3 8%
Student > Ph. D. Student 3 8%
Researcher 2 5%
Other 4 11%
Unknown 16 43%
Readers by discipline Count As %
Immunology and Microbiology 6 16%
Medicine and Dentistry 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 2 5%
Agricultural and Biological Sciences 2 5%
Other 4 11%
Unknown 18 49%
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 20 January 2023.
All research outputs
#1,742,064
of 25,837,817 outputs
Outputs from Microbiome
#631
of 1,789 outputs
Outputs of similar age
#37,118
of 443,673 outputs
Outputs of similar age from Microbiome
#15
of 62 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 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has gotten more attention than average, scoring higher than 64% 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 443,673 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 91% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.