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Unveiling individuality in the early phase of motor learning: a machine learning approach for analysing weightlifting technique in novices

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
1 Mendeley
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Title
Unveiling individuality in the early phase of motor learning: a machine learning approach for analysing weightlifting technique in novices
Published in
Frontiers in Bioengineering and Biotechnology, July 2024
DOI 10.3389/fbioe.2024.1426058
Pubmed ID
Authors

Achraf Ammar, Marvin Leonard Simak, Atef Salem, Fabian Horst, Wolfgang Immanuel Schöllhorn

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Sports and Recreations 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 July 2024.
All research outputs
#15,443,772
of 26,393,590 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,900
of 8,755 outputs
Outputs of similar age
#46,231
of 134,235 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#4
of 63 outputs
Altmetric has tracked 26,393,590 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,755 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 78% 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 134,235 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 65% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.