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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Challenges, issues and trends in fall detection systems
|
|---|---|
| Published in |
BioMedical Engineering OnLine, July 2013
|
| DOI | 10.1186/1475-925x-12-66 |
| Pubmed ID | |
| Authors |
Raul Igual, Carlos Medrano, Inmaculada Plaza |
| Abstract |
Since falls are a major public health problem among older people, the number of systems aimed at detecting them has increased dramatically over recent years. This work presents an extensive literature review of fall detection systems, including comparisons among various kinds of studies. It aims to serve as a reference for both clinicians and biomedical engineers planning or conducting field investigations. Challenges, issues and trends in fall detection have been identified after the reviewing work. The number of studies using context-aware techniques is still increasing but there is a new trend towards the integration of fall detection into smartphones as well as the use of machine learning methods in the detection algorithm. We have also identified challenges regarding performance under real-life conditions, usability, and user acceptance as well as issues related to power consumption, real-time operations, sensing limitations, privacy and record of real-life falls. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 555 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| France | 2 | <1% |
| Italy | 2 | <1% |
| Portugal | 1 | <1% |
| Norway | 1 | <1% |
| Switzerland | 1 | <1% |
| Turkey | 1 | <1% |
| United Kingdom | 1 | <1% |
| Hong Kong | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 540 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 95 | 17% |
| Student > Ph. D. Student | 93 | 17% |
| Researcher | 72 | 13% |
| Student > Bachelor | 65 | 12% |
| Student > Doctoral Student | 24 | 4% |
| Other | 72 | 13% |
| Unknown | 134 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 175 | 32% |
| Computer Science | 136 | 25% |
| Medicine and Dentistry | 23 | 4% |
| Nursing and Health Professions | 11 | 2% |
| Social Sciences | 8 | 1% |
| Other | 46 | 8% |
| Unknown | 156 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 April 2019.
All research outputs
#2,996,259
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#59
of 867 outputs
Outputs of similar age
#24,661
of 206,611 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 93% 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 206,611 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 88% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.