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Kinematic-Based Classification of Social Gestures and Grasping by Humans and Machine Learning Techniques

Overview of attention for article published in Frontiers in Robotics and AI, October 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
13 Mendeley
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Title
Kinematic-Based Classification of Social Gestures and Grasping by Humans and Machine Learning Techniques
Published in
Frontiers in Robotics and AI, October 2021
DOI 10.3389/frobt.2021.699505
Pubmed ID
Authors

Paul Hemeren, Peter Veto, Serge Thill, Cai Li, Jiong Sun

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Researcher 2 15%
Lecturer 1 8%
Unknown 6 46%
Readers by discipline Count As %
Computer Science 3 23%
Environmental Science 1 8%
Engineering 1 8%
Unknown 8 62%
Attention Score in Context

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 16 October 2021.
All research outputs
#13,749,545
of 23,310,485 outputs
Outputs from Frontiers in Robotics and AI
#706
of 1,540 outputs
Outputs of similar age
#190,957
of 435,101 outputs
Outputs of similar age from Frontiers in Robotics and AI
#44
of 101 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 51% 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 435,101 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 54% of its contemporaries.
We're also able to compare this research output to 101 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 56% of its contemporaries.