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Nonlinear mixed-effects model reveals a distinction between learning and performance in intensive reach training post-stroke

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, March 2017
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1 X user

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69 Mendeley
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Title
Nonlinear mixed-effects model reveals a distinction between learning and performance in intensive reach training post-stroke
Published in
Journal of NeuroEngineering and Rehabilitation, March 2017
DOI 10.1186/s12984-017-0233-2
Pubmed ID
Authors

Hyeshin Park, Nicolas Schweighofer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Researcher 11 16%
Student > Master 6 9%
Student > Doctoral Student 5 7%
Professor 5 7%
Other 15 22%
Unknown 11 16%
Readers by discipline Count As %
Neuroscience 16 23%
Nursing and Health Professions 7 10%
Engineering 6 9%
Medicine and Dentistry 5 7%
Psychology 4 6%
Other 10 14%
Unknown 21 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 September 2018.
All research outputs
#15,544,609
of 23,102,082 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#849
of 1,294 outputs
Outputs of similar age
#210,615
of 334,300 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#17
of 23 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,294 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 334,300 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.