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Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector Machine

Overview of attention for article published in Frontiers in Psychology, September 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
13 X users

Citations

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18 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector Machine
Published in
Frontiers in Psychology, September 2020
DOI 10.3389/fpsyg.2020.551548
Pubmed ID
Authors

Johannes Burdack, Fabian Horst, Daniel Aragonés, Alexander Eekhoff, Wolfgang Immanuel Schöllhorn

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Student > Bachelor 5 12%
Researcher 3 7%
Professor > Associate Professor 3 7%
Student > Master 3 7%
Other 7 17%
Unknown 14 33%
Readers by discipline Count As %
Sports and Recreations 8 19%
Social Sciences 3 7%
Neuroscience 3 7%
Engineering 3 7%
Medicine and Dentistry 3 7%
Other 6 14%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 27 December 2020.
All research outputs
#4,898,950
of 24,586,986 outputs
Outputs from Frontiers in Psychology
#7,912
of 33,155 outputs
Outputs of similar age
#112,824
of 417,137 outputs
Outputs of similar age from Frontiers in Psychology
#277
of 803 outputs
Altmetric has tracked 24,586,986 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,155 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 76% 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 417,137 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 72% of its contemporaries.
We're also able to compare this research output to 803 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.