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A Deep Learning Framework for Assessing Physical Rehabilitation Exercises

Overview of attention for article published in IEEE Transactions on Neural Systems and Rehabilitation Engineering, January 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 1,513)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
10 X users
patent
3 patents
facebook
1 Facebook page

Readers on

mendeley
204 Mendeley
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Article details
Title
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
Published in
IEEE Transactions on Neural Systems and Rehabilitation Engineering, January 2020
DOI 10.1109/tnsre.2020.2966249
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 204 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 31 15%
Student > Master 18 9%
Student > Bachelor 15 7%
Researcher 15 7%
Student > Doctoral Student 9 4%
Other 29 14%
Unknown 87 43%
Readers by discipline
Readers by discipline Count As %
Computer Science 38 19%
Engineering 38 19%
Nursing and Health Professions 6 3%
Medicine and Dentistry 4 2%
Psychology 4 2%
Other 20 10%
Unknown 94 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 July 2024.
All research outputs
#1,952,976
of 27,271,908 outputs
Outputs from IEEE Transactions on Neural Systems and Rehabilitation Engineering
#41
of 1,513 outputs
Outputs of similar age
#44,711
of 484,897 outputs
Outputs of similar age from IEEE Transactions on Neural Systems and Rehabilitation Engineering
#2
of 26 outputs
Altmetric has tracked 27,271,908 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% 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 484,897 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 26 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 92% of its contemporaries.