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Autonomous identification of freezing of gait in Parkinson's disease from lower-body segmental accelerometry

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, February 2013
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3 X users

Citations

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165 Dimensions

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221 Mendeley
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Title
Autonomous identification of freezing of gait in Parkinson's disease from lower-body segmental accelerometry
Published in
Journal of NeuroEngineering and Rehabilitation, February 2013
DOI 10.1186/1743-0003-10-19
Pubmed ID
Authors

Steven T Moore, Don A Yungher, Tiffany R Morris, Valentina Dilda, Hamish G MacDougall, James M Shine, Sharon L Naismith, Simon JG Lewis

Abstract

We have previously published a technique for objective assessment of freezing of gait (FOG) in Parkinson's disease (PD) from a single shank-mounted accelerometer. Here we extend this approach to evaluate the optimal configuration of sensor placement and signal processing parameters using seven sensors attached to the lumbar back, thighs, shanks and feet.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Canada 1 <1%
Unknown 217 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 23%
Researcher 34 15%
Student > Master 32 14%
Student > Bachelor 18 8%
Professor 11 5%
Other 34 15%
Unknown 42 19%
Readers by discipline Count As %
Engineering 61 28%
Medicine and Dentistry 38 17%
Neuroscience 23 10%
Computer Science 14 6%
Nursing and Health Professions 10 5%
Other 17 8%
Unknown 58 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 November 2022.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#811
of 1,413 outputs
Outputs of similar age
#183,057
of 296,574 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#12
of 21 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 38th percentile – i.e., 38% 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 296,574 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.