| Title |
Budget impact analysis of robotic exoskeleton use for locomotor training following spinal cord injury in four SCI Model Systems
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, January 2020
|
| DOI | 10.1186/s12984-019-0639-0 |
| Pubmed ID | |
| Authors |
Daniel Pinto, Mauricio Garnier, Jason Barbas, Shuo-Hsiu Chang, Susan Charlifue, Edelle Field-Fote, Catherine Furbish, Candy Tefertiller, Chaithanya K. Mummidisetty, Heather Taylor, Arun Jayaraman, Allen W. Heinemann |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 45% |
| United Kingdom | 2 | 18% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 10% |
| Student > Ph. D. Student | 8 | 7% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 8 | 7% |
| Other | 7 | 6% |
| Other | 23 | 20% |
| Unknown | 49 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 16% |
| Nursing and Health Professions | 16 | 14% |
| Medicine and Dentistry | 5 | 4% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Unspecified | 4 | 3% |
| Other | 13 | 11% |
| Unknown | 55 | 48% |
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 06 June 2023.
All research outputs
#4,151,008
of 23,952,093 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#226
of 1,334 outputs
Outputs of similar age
#93,363
of 460,951 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#4
of 40 outputs
Altmetric has tracked 23,952,093 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,334 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. 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 460,951 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 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.