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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatically evaluating balance using machine learning and data from a single inertial measurement unit
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, July 2021
|
| DOI | 10.1186/s12984-021-00894-4 |
| Pubmed ID | |
| Authors |
Fahad Kamran, Kathryn Harrold, Jonathan Zwier, Wendy Carender, Tian Bao, Kathleen H. Sienko, Jenna Wiens |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Researcher | 4 | 9% |
| Professor | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 21 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 11% |
| Computer Science | 5 | 11% |
| Neuroscience | 3 | 7% |
| Business, Management and Accounting | 3 | 7% |
| Nursing and Health Professions | 2 | 4% |
| Other | 7 | 16% |
| Unknown | 20 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 July 2021.
All research outputs
#18,143,395
of 23,308,124 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#957
of 1,303 outputs
Outputs of similar age
#295,980
of 436,029 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#34
of 39 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 436,029 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.