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Decoding Bilateral Hindlimb Kinematics From Cat Spinal Signals Using Three-Dimensional Convolutional Neural Network

Overview of attention for article published in Frontiers in Neuroscience, March 2022
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1 X user

Citations

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Readers on

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15 Mendeley
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Title
Decoding Bilateral Hindlimb Kinematics From Cat Spinal Signals Using Three-Dimensional Convolutional Neural Network
Published in
Frontiers in Neuroscience, March 2022
DOI 10.3389/fnins.2022.801818
Pubmed ID
Authors

Yaser Fathi, Abbas Erfanian

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Bachelor 2 13%
Student > Doctoral Student 2 13%
Professor 2 13%
Researcher 2 13%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Engineering 5 33%
Neuroscience 4 27%
Agricultural and Biological Sciences 1 7%
Veterinary Science and Veterinary Medicine 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 3 20%
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 07 April 2022.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#10,169
of 11,543 outputs
Outputs of similar age
#379,014
of 445,762 outputs
Outputs of similar age from Frontiers in Neuroscience
#390
of 451 outputs
Altmetric has tracked 25,392,582 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 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 445,762 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 451 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.