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A high-performance training-free approach for hand gesture recognition with accelerometer

Overview of attention for article published in Multimedia Tools and Applications, March 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

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16 Dimensions

Readers on

mendeley
35 Mendeley
Title
A high-performance training-free approach for hand gesture recognition with accelerometer
Published in
Multimedia Tools and Applications, March 2013
DOI 10.1007/s11042-013-1368-1
Authors

Liang Yin, Mingzhi Dong, Ying Duan, Weihong Deng, Kaili Zhao, Jun Guo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 34%
Student > Master 5 14%
Student > Bachelor 4 11%
Researcher 3 9%
Student > Doctoral Student 2 6%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Computer Science 17 49%
Engineering 12 34%
Nursing and Health Professions 1 3%
Unknown 5 14%
Attention Score in Context

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 23 November 2016.
All research outputs
#7,942,395
of 23,906,448 outputs
Outputs from Multimedia Tools and Applications
#316
of 4,321 outputs
Outputs of similar age
#66,373
of 196,780 outputs
Outputs of similar age from Multimedia Tools and Applications
#4
of 16 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,321 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 82% 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 196,780 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.