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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

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
108 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 108 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 106 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 19%
Student > Ph. D. Student 19 18%
Student > Bachelor 14 13%
Researcher 9 8%
Student > Doctoral Student 8 7%
Other 17 16%
Unknown 20 19%
Readers by discipline Count As %
Engineering 22 20%
Computer Science 13 12%
Nursing and Health Professions 11 10%
Medicine and Dentistry 10 9%
Sports and Recreations 9 8%
Other 18 17%
Unknown 25 23%

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
#14,242,087
of 22,834,308 outputs
Outputs from BioMedical Engineering OnLine
#371
of 823 outputs
Outputs of similar age
#202,821
of 387,655 outputs
Outputs of similar age from BioMedical Engineering OnLine
#12
of 39 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 823 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 52% 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 387,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.