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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, February 2022
|
| DOI | 10.1186/s12984-022-01001-x |
| Pubmed ID | |
| Authors |
Mazen Al Borno, Johanna O’Day, Vanessa Ibarra, James Dunne, Ajay Seth, Ayman Habib, Carmichael Ong, Jennifer Hicks, Scott Uhlrich, Scott Delp |
X Demographics
The data shown below were collected from the profiles of 40 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 | 11 | 28% |
| United Kingdom | 4 | 10% |
| Australia | 2 | 5% |
| Italy | 1 | 3% |
| Turkey | 1 | 3% |
| India | 1 | 3% |
| Pakistan | 1 | 3% |
| Ireland | 1 | 3% |
| Canada | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 57% |
| Members of the public | 16 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 20% |
| Student > Master | 24 | 14% |
| Researcher | 16 | 10% |
| Student > Bachelor | 12 | 7% |
| Professor > Associate Professor | 6 | 4% |
| Other | 21 | 13% |
| Unknown | 54 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 63 | 38% |
| Sports and Recreations | 15 | 9% |
| Medicine and Dentistry | 6 | 4% |
| Computer Science | 4 | 2% |
| Neuroscience | 4 | 2% |
| Other | 13 | 8% |
| Unknown | 62 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 29 August 2022.
All research outputs
#1,448,327
of 25,728,855 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#44
of 1,424 outputs
Outputs of similar age
#35,610
of 452,457 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#3
of 21 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,424 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 96% 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 452,457 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.