The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effectively Quantifying the Performance of Lower-Limb Exoskeletons Over a Range of Walking Conditions
|
|---|---|
| Published in |
Frontiers in Robotics and AI, June 2018
|
| DOI | 10.3389/frobt.2018.00061 |
| Pubmed ID | |
| Authors |
Daniel F. N. Gordon, Graham Henderson, Sethu Vijayakumar |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 27% |
| United States | 3 | 27% |
| Switzerland | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 22% |
| Student > Master | 25 | 21% |
| Researcher | 13 | 11% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 8 | 7% |
| Other | 12 | 10% |
| Unknown | 25 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 69 | 59% |
| Computer Science | 4 | 3% |
| Agricultural and Biological Sciences | 2 | 2% |
| Design | 2 | 2% |
| Neuroscience | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 33 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 02 July 2018.
All research outputs
#5,031,049
of 26,459,924 outputs
Outputs from Frontiers in Robotics and AI
#316
of 1,825 outputs
Outputs of similar age
#87,195
of 346,053 outputs
Outputs of similar age from Frontiers in Robotics and AI
#18
of 46 outputs
Altmetric has tracked 26,459,924 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 1,825 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 82% 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 346,053 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 74% 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 has gotten more attention than average, scoring higher than 60% of its contemporaries.