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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
207 Mendeley
citeulike
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

Steins D, Dawes H, Esser P, Collett J

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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Portugal 1 <1%
Unknown 199 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 22%
Researcher 34 16%
Student > Master 30 14%
Student > Bachelor 22 11%
Student > Doctoral Student 11 5%
Other 33 16%
Unknown 31 15%
Readers by discipline Count As %
Medicine and Dentistry 38 18%
Engineering 36 17%
Nursing and Health Professions 21 10%
Computer Science 16 8%
Neuroscience 10 5%
Other 50 24%
Unknown 36 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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
#6,483,363
of 12,352,580 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#297
of 668 outputs
Outputs of similar age
#72,983
of 197,526 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#17
of 33 outputs
Altmetric has tracked 12,352,580 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 668 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 54% 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 197,526 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 62% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.