↓ Skip to main content

User training for machine learning controlled upper limb prostheses: a serious game approach

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, February 2021
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
92 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
User training for machine learning controlled upper limb prostheses: a serious game approach
Published in
Journal of NeuroEngineering and Rehabilitation, February 2021
DOI 10.1186/s12984-021-00831-5
Pubmed ID
Authors

Morten B. Kristoffersen, Andreas W. Franzke, Raoul M. Bongers, Michael Wand, Alessio Murgia, Corry K. van der Sluis

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 12%
Student > Ph. D. Student 10 11%
Student > Bachelor 8 9%
Student > Doctoral Student 6 7%
Researcher 6 7%
Other 14 15%
Unknown 37 40%
Readers by discipline Count As %
Engineering 16 17%
Medicine and Dentistry 9 10%
Nursing and Health Professions 5 5%
Computer Science 4 4%
Business, Management and Accounting 3 3%
Other 14 15%
Unknown 41 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 March 2021.
All research outputs
#6,495,509
of 23,885,338 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#381
of 1,341 outputs
Outputs of similar age
#160,965
of 519,751 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#17
of 55 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 71% 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 519,751 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 68% of its contemporaries.
We're also able to compare this research output to 55 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 70% of its contemporaries.