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Adaptivity of End Effector Motor Control Under Different Sensory Conditions: Experiments With Humans in Virtual Reality and Robotic Applications

Overview of attention for article published in Frontiers in Robotics and AI, July 2019
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Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

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6 Mendeley
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Title
Adaptivity of End Effector Motor Control Under Different Sensory Conditions: Experiments With Humans in Virtual Reality and Robotic Applications
Published in
Frontiers in Robotics and AI, July 2019
DOI 10.3389/frobt.2019.00063
Pubmed ID
Authors

Jaime Leonardo Maldonado Cañón, Thorsten Kluss, Christoph Zetzsche

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Professor > Associate Professor 1 17%
Student > Bachelor 1 17%
Researcher 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Unspecified 1 17%
Nursing and Health Professions 1 17%
Business, Management and Accounting 1 17%
Psychology 1 17%
Unknown 2 33%
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 24 July 2019.
All research outputs
#18,025,055
of 23,153,184 outputs
Outputs from Frontiers in Robotics and AI
#1,159
of 1,526 outputs
Outputs of similar age
#242,399
of 346,463 outputs
Outputs of similar age from Frontiers in Robotics and AI
#34
of 44 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 13th percentile – i.e., 13% 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 346,463 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.