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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study
|
|---|---|
| Published in |
BioMedical Engineering OnLine, May 2020
|
| DOI | 10.1186/s12938-020-00779-y |
| Pubmed ID | |
| Authors |
Christian Giang, Elvira Pirondini, Nawal Kinany, Camilla Pierella, Alessandro Panarese, Martina Coscia, Jenifer Miehlbradt, Cécile Magnin, Pierre Nicolo, Adrian Guggisberg, Silvestro Micera |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 13% |
| Brazil | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 12% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Bachelor | 7 | 9% |
| Student > Master | 7 | 9% |
| Student > Doctoral Student | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 29 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 17% |
| Nursing and Health Professions | 6 | 8% |
| Neuroscience | 5 | 7% |
| Computer Science | 4 | 5% |
| Unspecified | 4 | 5% |
| Other | 14 | 19% |
| Unknown | 29 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 09 June 2020.
All research outputs
#5,752,146
of 23,207,489 outputs
Outputs from BioMedical Engineering OnLine
#149
of 828 outputs
Outputs of similar age
#120,061
of 387,350 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 14 outputs
Altmetric has tracked 23,207,489 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 828 research outputs from this source. They receive a mean Attention Score of 4.7. 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 387,350 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 68% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.