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Exploration of Applying Pose Estimation Techniques in Table Tennis

Overview of attention for article published in Applied Sciences, February 2023
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1 X user

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39 Mendeley
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Article details
Title
Exploration of Applying Pose Estimation Techniques in Table Tennis
Published in
Applied Sciences, February 2023
DOI 10.3390/app13031896
Authors

Chih-Hung Wu, Te-Cheng Wu, Wen-Bin Lin

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Timeline Attention over time Attention Score history
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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.
Mendeley demographics

Mendeley demographics

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

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 3 8%
Student > Bachelor 2 5%
Student > Master 2 5%
Researcher 2 5%
Other 1 3%
Other 1 3%
Unknown 28 72%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 3 8%
Social Sciences 3 8%
Business, Management and Accounting 2 5%
Engineering 2 5%
Computer Science 1 3%
Other 2 5%
Unknown 26 67%
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 2024.
All research outputs
#24,083,864
of 26,817,530 outputs
Outputs from Applied Sciences
#11,351
of 17,356 outputs
Outputs of similar age
#426,154
of 494,089 outputs
Outputs of similar age from Applied Sciences
#725
of 1,528 outputs
Altmetric has tracked 26,817,530 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 17,356 research outputs from this source. They receive a mean Attention Score of 2.1. 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 494,089 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 1,528 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.