↓ Skip to main content

Online optical marker-based hand tracking with deep labels

Overview of attention for article published in ACM Transactions on Graphics, August 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
99 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Online optical marker-based hand tracking with deep labels
Published in
ACM Transactions on Graphics, August 2018
DOI 10.1145/3197517.3201399
Authors

Shangchen Han, Beibei Liu, Robert Wang, Yuting Ye, Christopher D. Twigg, Kenrick Kin

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Student > Master 21 21%
Researcher 17 17%
Student > Bachelor 10 10%
Student > Doctoral Student 3 3%
Other 8 8%
Unknown 18 18%
Readers by discipline Count As %
Computer Science 47 47%
Engineering 22 22%
Neuroscience 3 3%
Design 2 2%
Economics, Econometrics and Finance 1 1%
Other 4 4%
Unknown 20 20%

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 16 July 2020.
All research outputs
#5,393,842
of 16,849,755 outputs
Outputs from ACM Transactions on Graphics
#770
of 2,066 outputs
Outputs of similar age
#62,321
of 162,070 outputs
Outputs of similar age from ACM Transactions on Graphics
#1
of 1 outputs
Altmetric has tracked 16,849,755 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,066 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 11th percentile – i.e., 11% 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 162,070 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 60% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them