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Playing the pipes: acoustic sensing and machine learning for performance feedback during endotracheal intubation simulation

Overview of attention for article published in Frontiers in Robotics and AI, October 2023
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1 X user

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9 Mendeley
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Title
Playing the pipes: acoustic sensing and machine learning for performance feedback during endotracheal intubation simulation
Published in
Frontiers in Robotics and AI, October 2023
DOI 10.3389/frobt.2023.1218174
Pubmed ID
Authors

Torjus L. Steffensen, Barge Bartnes, Maja L. Fuglstad, Marius Auflem, Martin Steinert

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 22%
Unspecified 1 11%
Other 1 11%
Unknown 5 56%
Readers by discipline Count As %
Unspecified 1 11%
Environmental Science 1 11%
Sports and Recreations 1 11%
Medicine and Dentistry 1 11%
Engineering 1 11%
Other 0 0%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 October 2023.
All research outputs
#20,098,848
of 24,707,218 outputs
Outputs from Frontiers in Robotics and AI
#1,393
of 1,677 outputs
Outputs of similar age
#108,853
of 161,570 outputs
Outputs of similar age from Frontiers in Robotics and AI
#9
of 27 outputs
Altmetric has tracked 24,707,218 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,677 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 161,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.