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Design, development, and evaluation of a local sensor-based gait phase recognition system using a logistic model decision tree for orthosis-control

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, February 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
118 Mendeley
Title
Design, development, and evaluation of a local sensor-based gait phase recognition system using a logistic model decision tree for orthosis-control
Published in
Journal of NeuroEngineering and Rehabilitation, February 2019
DOI 10.1186/s12984-019-0486-z
Pubmed ID
Authors

Johnny D. Farah, Natalie Baddour, Edward D. Lemaire

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 15%
Student > Bachelor 14 12%
Student > Ph. D. Student 13 11%
Unspecified 10 8%
Researcher 9 8%
Other 17 14%
Unknown 37 31%
Readers by discipline Count As %
Engineering 30 25%
Unspecified 10 8%
Medicine and Dentistry 9 8%
Computer Science 7 6%
Nursing and Health Professions 5 4%
Other 15 13%
Unknown 42 36%
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 15 February 2019.
All research outputs
#15,559,348
of 23,125,690 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#848
of 1,294 outputs
Outputs of similar age
#265,779
of 438,256 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#28
of 41 outputs
Altmetric has tracked 23,125,690 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 438,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.