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Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, March 2014
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2 X users

Citations

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54 Dimensions

Readers on

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232 Mendeley
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1 CiteULike
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Title
Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review
Published in
Journal of NeuroEngineering and Rehabilitation, March 2014
DOI 10.1186/1743-0003-11-36
Pubmed ID
Authors

Dax Steins, Helen Dawes, Patrick Esser, Johnny Collett

Abstract

Integrating rehabilitation services through wearable systems has the potential to accurately assess the type, intensity, duration, and quality of movement necessary for procuring key outcome measures.

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 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Netherlands 1 <1%
Portugal 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 224 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 22%
Researcher 34 15%
Student > Master 31 13%
Student > Bachelor 25 11%
Student > Doctoral Student 11 5%
Other 35 15%
Unknown 46 20%
Readers by discipline Count As %
Medicine and Dentistry 39 17%
Engineering 38 16%
Nursing and Health Professions 21 9%
Computer Science 16 7%
Neuroscience 12 5%
Other 53 23%
Unknown 53 23%
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 13 February 2016.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#811
of 1,413 outputs
Outputs of similar age
#128,749
of 235,727 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#20
of 37 outputs
Altmetric has tracked 25,374,917 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 235,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.