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Fusion of Bilateral Lower-Limb Neuromechanical Signals Improves Prediction of Locomotor Activities

Overview of attention for article published in Frontiers in Robotics and AI, June 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
89 Mendeley
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Title
Fusion of Bilateral Lower-Limb Neuromechanical Signals Improves Prediction of Locomotor Activities
Published in
Frontiers in Robotics and AI, June 2018
DOI 10.3389/frobt.2018.00078
Pubmed ID
Authors

Blair Hu, Elliott Rouse, Levi Hargrove

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 28%
Student > Ph. D. Student 17 19%
Student > Bachelor 8 9%
Researcher 5 6%
Student > Doctoral Student 4 4%
Other 7 8%
Unknown 23 26%
Readers by discipline Count As %
Engineering 47 53%
Medicine and Dentistry 4 4%
Computer Science 3 3%
Nursing and Health Professions 2 2%
Sports and Recreations 2 2%
Other 8 9%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 June 2018.
All research outputs
#7,344,770
of 23,330,477 outputs
Outputs from Frontiers in Robotics and AI
#505
of 1,541 outputs
Outputs of similar age
#125,095
of 329,770 outputs
Outputs of similar age from Frontiers in Robotics and AI
#27
of 46 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 66% 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 329,770 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 61% of its contemporaries.
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 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.