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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 33% |
| Iceland | 1 | 17% |
| France | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 257 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 | 251 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 64 | 25% |
| Student > Master | 44 | 17% |
| Student > Bachelor | 21 | 8% |
| Researcher | 18 | 7% |
| Professor | 15 | 6% |
| Other | 37 | 14% |
| Unknown | 58 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 137 | 53% |
| Medicine and Dentistry | 12 | 5% |
| Sports and Recreations | 11 | 4% |
| Computer Science | 9 | 4% |
| Agricultural and Biological Sciences | 3 | 1% |
| Other | 13 | 5% |
| Unknown | 72 | 28% |
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
#4,442,595
of 22,769,322 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#260
of 1,278 outputs
Outputs of similar age
#52,490
of 262,158 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#2
of 10 outputs
Altmetric has tracked 22,769,322 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 1,278 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 79% 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 262,158 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 79% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.