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A Validation of Supervised Deep Learning for Gait Analysis in the Cat

Overview of attention for article published in Frontiers in Neuroinformatics, August 2021
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1 X user

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23 Mendeley
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Title
A Validation of Supervised Deep Learning for Gait Analysis in the Cat
Published in
Frontiers in Neuroinformatics, August 2021
DOI 10.3389/fninf.2021.712623
Pubmed ID
Authors

Charly G. Lecomte, Johannie Audet, Jonathan Harnie, Alain Frigon

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Bachelor 4 17%
Student > Master 2 9%
Unspecified 1 4%
Other 1 4%
Other 1 4%
Unknown 8 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 17%
Neuroscience 3 13%
Medicine and Dentistry 2 9%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Other 4 17%
Unknown 8 35%
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 10 January 2023.
All research outputs
#20,887,917
of 23,510,717 outputs
Outputs from Frontiers in Neuroinformatics
#697
of 773 outputs
Outputs of similar age
#358,957
of 433,480 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#13
of 18 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 773 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 433,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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.