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Autonomous exoskeleton reduces metabolic cost of human walking

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
6 tweeters
patent
1 patent
reddit
1 Redditor

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
189 Mendeley
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Title
Autonomous exoskeleton reduces metabolic cost of human walking
Published in
Journal of NeuroEngineering and Rehabilitation, November 2014
DOI 10.1186/1743-0003-11-151
Pubmed ID
Authors

Luke M Mooney, Elliott J Rouse, Hugh M Herr

Abstract

Passive exoskeletons that assist with human locomotion are often lightweight and compact, but are unable to provide net mechanical power to the exoskeletal wearer. In contrast, powered exoskeletons often provide biologically appropriate levels of mechanical power, but the size and mass of their actuator/power source designs often lead to heavy and unwieldy devices. In this study, we extend the design and evaluation of a lightweight and powerful autonomous exoskeleton evaluated for loaded walking in (J Neuroeng Rehab 11:80, 2014) to the case of unloaded walking conditions.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Singapore 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 183 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 32%
Student > Master 38 20%
Student > Bachelor 17 9%
Researcher 15 8%
Professor 10 5%
Other 28 15%
Unknown 20 11%
Readers by discipline Count As %
Engineering 108 57%
Medicine and Dentistry 12 6%
Sports and Recreations 10 5%
Computer Science 8 4%
Agricultural and Biological Sciences 3 2%
Other 13 7%
Unknown 35 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 November 2020.
All research outputs
#3,711,606
of 19,417,097 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#230
of 1,180 outputs
Outputs of similar age
#49,045
of 249,408 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#14
of 43 outputs
Altmetric has tracked 19,417,097 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,180 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 80% 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 249,408 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.