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The Iterative Learning Gain That Optimizes Real-Time Torque Tracking for Ankle Exoskeletons in Human Walking Under Gait Variations

Overview of attention for article published in Frontiers in Neurorobotics, May 2021
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Mentioned by

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2 X users

Citations

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10 Dimensions

Readers on

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28 Mendeley
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Title
The Iterative Learning Gain That Optimizes Real-Time Torque Tracking for Ankle Exoskeletons in Human Walking Under Gait Variations
Published in
Frontiers in Neurorobotics, May 2021
DOI 10.3389/fnbot.2021.653409
Pubmed ID
Authors

Juanjuan Zhang, Steven H. Collins

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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Master 4 14%
Researcher 3 11%
Professor 2 7%
Student > Doctoral Student 2 7%
Other 1 4%
Unknown 10 36%
Readers by discipline Count As %
Engineering 13 46%
Computer Science 1 4%
Materials Science 1 4%
Design 1 4%
Unknown 12 43%
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 09 June 2021.
All research outputs
#18,143,395
of 23,308,124 outputs
Outputs from Frontiers in Neurorobotics
#532
of 904 outputs
Outputs of similar age
#305,653
of 448,564 outputs
Outputs of similar age from Frontiers in Neurorobotics
#25
of 46 outputs
Altmetric has tracked 23,308,124 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 904 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 33rd percentile – i.e., 33% 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 448,564 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.