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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Elderly Fall Detection Systems: A Literature Survey
|
|---|---|
| Published in |
Frontiers in Robotics and AI, June 2020
|
| DOI | 10.3389/frobt.2020.00071 |
| Pubmed ID | |
| Authors |
Xueyi Wang, Joshua Ellul, George Azzopardi |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| Italy | 1 | 14% |
| Switzerland | 1 | 14% |
| Malta | 1 | 14% |
| Netherlands | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 350 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 350 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 37 | 11% |
| Student > Ph. D. Student | 31 | 9% |
| Student > Bachelor | 28 | 8% |
| Researcher | 22 | 6% |
| Student > Doctoral Student | 16 | 5% |
| Other | 37 | 11% |
| Unknown | 179 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 71 | 20% |
| Computer Science | 45 | 13% |
| Nursing and Health Professions | 9 | 3% |
| Medicine and Dentistry | 8 | 2% |
| Business, Management and Accounting | 6 | 2% |
| Other | 23 | 7% |
| Unknown | 188 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 03 March 2024.
All research outputs
#1,012,583
of 25,503,365 outputs
Outputs from Frontiers in Robotics and AI
#76
of 1,780 outputs
Outputs of similar age
#30,146
of 435,016 outputs
Outputs of similar age from Frontiers in Robotics and AI
#3
of 40 outputs
Altmetric has tracked 25,503,365 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done particularly well, scoring higher than 95% 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 435,016 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 93% 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 done particularly well, scoring higher than 95% of its contemporaries.