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Model-based hand pose estimation via spatial-temporal hand parsing and 3D fingertip localization

Overview of attention for article published in The Visual Computer, May 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
3 patents

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
47 Mendeley
Title
Model-based hand pose estimation via spatial-temporal hand parsing and 3D fingertip localization
Published in
The Visual Computer, May 2013
DOI 10.1007/s00371-013-0822-4
Authors

Hui Liang, Junsong Yuan, Daniel Thalmann, Zhengyou Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
United Kingdom 1 2%
Tunisia 1 2%
Brazil 1 2%
Unknown 42 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Student > Master 10 21%
Researcher 6 13%
Student > Doctoral Student 6 13%
Student > Bachelor 4 9%
Other 7 15%
Unknown 1 2%
Readers by discipline Count As %
Computer Science 30 64%
Engineering 11 23%
Physics and Astronomy 1 2%
Design 1 2%
Unknown 4 9%
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 05 September 2017.
All research outputs
#7,856,604
of 23,815,455 outputs
Outputs from The Visual Computer
#169
of 1,264 outputs
Outputs of similar age
#66,489
of 195,268 outputs
Outputs of similar age from The Visual Computer
#3
of 13 outputs
Altmetric has tracked 23,815,455 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 1,264 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 62% 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 195,268 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 50% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.