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Interactive robot teaching based on finger trajectory using multimodal RGB-D-T-data

Overview of attention for article published in Frontiers in Robotics and AI, March 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Interactive robot teaching based on finger trajectory using multimodal RGB-D-T-data
Published in
Frontiers in Robotics and AI, March 2023
DOI 10.3389/frobt.2023.1120357
Pubmed ID
Authors

Yan Zhang, Richard Fütterer, Gunther Notni

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Lecturer > Senior Lecturer 1 14%
Student > Bachelor 1 14%
Lecturer 1 14%
Unknown 2 29%
Readers by discipline Count As %
Engineering 4 57%
Arts and Humanities 1 14%
Unknown 2 29%
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 22 March 2023.
All research outputs
#13,828,354
of 23,572,509 outputs
Outputs from Frontiers in Robotics and AI
#699
of 1,569 outputs
Outputs of similar age
#148,691
of 371,124 outputs
Outputs of similar age from Frontiers in Robotics and AI
#11
of 55 outputs
Altmetric has tracked 23,572,509 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,569 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 54% 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 371,124 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 59% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.