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Mendeley readers
Attention Score in Context
| Title |
Extraction of user's navigation commands from upper body force interaction in walker assisted gait
|
|---|---|
| Published in |
BioMedical Engineering OnLine, August 2010
|
| DOI | 10.1186/1475-925x-9-37 |
| Pubmed ID | |
| Authors |
Anselmo Frizera Neto, Juan A Gallego, Eduardo Rocon, José L Pons, Ramón Ceres |
| Abstract |
The advances in technology make possible the incorporation of sensors and actuators in rollators, building safer robots and extending the use of walkers to a more diverse population. This paper presents a new method for the extraction of navigation related components from upper-body force interaction data in walker assisted gait. A filtering architecture is designed to cancel: (i) the high-frequency noise caused by vibrations on the walker's structure due to irregularities on the terrain or walker's wheels and (ii) the cadence related force components caused by user's trunk oscillations during gait. As a result, a third component related to user's navigation commands is distinguished. |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| United States | 1 | 1% |
| Unknown | 88 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 16% |
| Student > Master | 14 | 15% |
| Student > Bachelor | 10 | 11% |
| Researcher | 8 | 9% |
| Student > Doctoral Student | 7 | 8% |
| Other | 19 | 21% |
| Unknown | 18 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 42 | 46% |
| Medicine and Dentistry | 5 | 5% |
| Agricultural and Biological Sciences | 5 | 5% |
| Computer Science | 4 | 4% |
| Nursing and Health Professions | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 24 | 26% |
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 11 April 2011.
All research outputs
#4,655,198
of 22,705,019 outputs
Outputs from BioMedical Engineering OnLine
#120
of 821 outputs
Outputs of similar age
#19,319
of 94,352 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 4 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 85% 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 94,352 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them