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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, August 2021
|
| DOI | 10.1186/s12984-021-00918-z |
| Pubmed ID | |
| Authors |
Yaar Harari, Nicholas Shawen, Chaithanya K. Mummidisetty, Mark V. Albert, Konrad P. Kording, Arun Jayaraman |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Japan | 2 | 33% |
| Turkey | 1 | 17% |
| United Kingdom | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 10 | 17% |
| Researcher | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Student > Master | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 28 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 11 | 19% |
| Engineering | 9 | 16% |
| Computer Science | 3 | 5% |
| Social Sciences | 2 | 3% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 30 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 27 April 2022.
All research outputs
#6,153,354
of 23,310,485 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#358
of 1,303 outputs
Outputs of similar age
#122,363
of 431,379 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#12
of 40 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 has gotten more attention than average, scoring higher than 72% 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 431,379 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 71% 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 gotten more attention than average, scoring higher than 70% of its contemporaries.