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Superimposing 3D Virtual Self + Expert Modeling for Motor Learning: Application to the Throw in American Football

Overview of attention for article published in Frontiers in ICT, August 2019
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Mentioned by

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1 X user

Citations

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12 Dimensions

Readers on

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39 Mendeley
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Title
Superimposing 3D Virtual Self + Expert Modeling for Motor Learning: Application to the Throw in American Football
Published in
Frontiers in ICT, August 2019
DOI 10.3389/fict.2019.00016
Authors

Thibaut Le Naour, Ludovic Hamon, Jean-Pierre Bresciani

Timeline

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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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 3 8%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Lecturer 2 5%
Other 9 23%
Unknown 11 28%
Readers by discipline Count As %
Computer Science 10 26%
Sports and Recreations 3 8%
Neuroscience 3 8%
Psychology 2 5%
Engineering 2 5%
Other 4 10%
Unknown 15 38%
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 11 September 2020.
All research outputs
#15,627,783
of 23,237,082 outputs
Outputs from Frontiers in ICT
#83
of 143 outputs
Outputs of similar age
#212,501
of 345,289 outputs
Outputs of similar age from Frontiers in ICT
#1
of 1 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 143 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 37th percentile – i.e., 37% 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 345,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them