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Targeting the cholinergic anti-inflammatory pathway with vagus nerve stimulation in patients with Covid-19?

Overview of attention for article published in Bioelectronic Medicine, July 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
110 Mendeley
Title
Targeting the cholinergic anti-inflammatory pathway with vagus nerve stimulation in patients with Covid-19?
Published in
Bioelectronic Medicine, July 2020
DOI 10.1186/s42234-020-00051-7
Pubmed ID
Authors

Bruno Bonaz, Valérie Sinniger, Sonia Pellissier

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 14%
Student > Master 11 10%
Other 10 9%
Student > Ph. D. Student 10 9%
Student > Doctoral Student 6 5%
Other 21 19%
Unknown 37 34%
Readers by discipline Count As %
Medicine and Dentistry 20 18%
Neuroscience 9 8%
Nursing and Health Professions 7 6%
Psychology 5 5%
Immunology and Microbiology 4 4%
Other 24 22%
Unknown 41 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 April 2024.
All research outputs
#7,820,285
of 25,483,400 outputs
Outputs from Bioelectronic Medicine
#58
of 139 outputs
Outputs of similar age
#162,930
of 427,819 outputs
Outputs of similar age from Bioelectronic Medicine
#4
of 5 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.7. This one has gotten more attention than average, scoring higher than 58% 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 427,819 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.