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A comparative study of machine learning and deep learning algorithms for padel tennis shot classification

Overview of attention for article published in Soft Computing, February 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
24 Mendeley
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Title
A comparative study of machine learning and deep learning algorithms for padel tennis shot classification
Published in
Soft Computing, February 2023
DOI 10.1007/s00500-023-07874-x
Authors

Guillermo Cartes Domínguez, Evelia Franco Álvarez, Alejandro Tapia Córdoba, Daniel Gutiérrez Reina

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Professor 2 8%
Student > Bachelor 1 4%
Lecturer 1 4%
Student > Ph. D. Student 1 4%
Other 1 4%
Unknown 15 63%
Readers by discipline Count As %
Computer Science 3 13%
Sports and Recreations 2 8%
Business, Management and Accounting 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 15 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 February 2023.
All research outputs
#7,855,449
of 23,839,820 outputs
Outputs from Soft Computing
#92
of 465 outputs
Outputs of similar age
#144,018
of 450,386 outputs
Outputs of similar age from Soft Computing
#2
of 16 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 80% of its peers.
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 450,386 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.