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Dynamic Distance-Based Shape Features for Gait Recognition

Overview of attention for article published in Journal of Mathematical Imaging and Vision, March 2014
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Mentioned by

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1 Facebook page

Citations

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37 Dimensions

Readers on

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21 Mendeley
Title
Dynamic Distance-Based Shape Features for Gait Recognition
Published in
Journal of Mathematical Imaging and Vision, March 2014
DOI 10.1007/s10851-014-0501-8
Authors

Tenika Whytock, Alexander Belyaev, Neil M. Robertson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Student > Ph. D. Student 4 19%
Researcher 3 14%
Other 2 10%
Professor > Associate Professor 2 10%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Computer Science 8 38%
Engineering 6 29%
Agricultural and Biological Sciences 1 5%
Social Sciences 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 0 0%
Unknown 4 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 August 2014.
All research outputs
#20,234,388
of 22,760,687 outputs
Outputs from Journal of Mathematical Imaging and Vision
#238
of 292 outputs
Outputs of similar age
#189,857
of 221,310 outputs
Outputs of similar age from Journal of Mathematical Imaging and Vision
#3
of 3 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 292 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 1st percentile – i.e., 1% 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 221,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.