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Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation

Overview of attention for article published in Frontiers in Neurorobotics, June 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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2 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation
Published in
Frontiers in Neurorobotics, June 2023
DOI 10.3389/fnbot.2023.1166911
Pubmed ID
Authors

Brayan Valencia-Vidal, Eduardo Ros, Ignacio Abadía, Niceto R. Luque

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 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 07 July 2023.
All research outputs
#19,537,444
of 24,034,335 outputs
Outputs from Frontiers in Neurorobotics
#605
of 945 outputs
Outputs of similar age
#170,668
of 238,733 outputs
Outputs of similar age from Frontiers in Neurorobotics
#7
of 17 outputs
Altmetric has tracked 24,034,335 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 945 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 22nd percentile – i.e., 22% 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 238,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.