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Automated extraction and validation of children’s gait parameters with the Kinect

Overview of attention for article published in BioMedical Engineering OnLine, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
1 tweeter
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
106 Mendeley
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Title
Automated extraction and validation of children’s gait parameters with the Kinect
Published in
BioMedical Engineering OnLine, December 2015
DOI 10.1186/s12938-015-0102-9
Authors

Saeid Motiian, Paola Pergami, Keegan Guffey, Corrie A Mancinelli, Gianfranco Doretto

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Australia 1 <1%
Unknown 104 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 20%
Student > Ph. D. Student 19 18%
Student > Bachelor 14 13%
Student > Doctoral Student 8 8%
Researcher 8 8%
Other 16 15%
Unknown 20 19%
Readers by discipline Count As %
Engineering 22 21%
Computer Science 12 11%
Nursing and Health Professions 11 10%
Medicine and Dentistry 10 9%
Sports and Recreations 9 8%
Other 17 16%
Unknown 25 24%

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 11 November 2016.
All research outputs
#4,130,353
of 8,614,122 outputs
Outputs from BioMedical Engineering OnLine
#122
of 441 outputs
Outputs of similar age
#129,506
of 302,357 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 23 outputs
Altmetric has tracked 8,614,122 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 441 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 67% 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 302,357 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 53% of its contemporaries.
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 has done well, scoring higher than 78% of its contemporaries.