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Exploring human-robot cooperation with gamified user training: a user study on cooperative lifting

Overview of attention for article published in Frontiers in Robotics and AI, January 2024
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Mentioned by

twitter
1 X user

Citations

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1 Dimensions

Readers on

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36 Mendeley
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Title
Exploring human-robot cooperation with gamified user training: a user study on cooperative lifting
Published in
Frontiers in Robotics and AI, January 2024
DOI 10.3389/frobt.2023.1290104
Pubmed ID
Authors

Gizem Ateş Venås, Martin Fodstad Stølen, Erik Kyrkjebø

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 24 67%
Student > Bachelor 2 6%
Professor > Associate Professor 1 3%
Student > Ph. D. Student 1 3%
Unknown 8 22%
Readers by discipline Count As %
Unspecified 24 67%
Computer Science 3 8%
Business, Management and Accounting 1 3%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 January 2024.
All research outputs
#20,468,927
of 25,157,832 outputs
Outputs from Frontiers in Robotics and AI
#1,416
of 1,736 outputs
Outputs of similar age
#117,574
of 172,070 outputs
Outputs of similar age from Frontiers in Robotics and AI
#10
of 32 outputs
Altmetric has tracked 25,157,832 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 1st percentile – i.e., 1% 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 172,070 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.