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Mendeley readers
Attention Score in Context
| Title |
The design of a purpose-built exergame for fall prediction and prevention for older people
|
|---|---|
| Published in |
European Review of Aging and Physical Activity, December 2015
|
| DOI | 10.1186/s11556-015-0157-4 |
| Pubmed ID | |
| Authors |
Hannah R. Marston, Ashley Woodbury, Yves J. Gschwind, Michael Kroll, Denis Fink, Sabine Eichberg, Karl Kreiner, Andreas Ejupi, Janneke Annegarn, Helios de Rosario, Arno Wienholtz, Rainer Wieching, Kim Delbaere |
| Abstract |
Falls in older people represent a major age-related health challenge facing our society. Novel methods for delivery of falls prevention programs are required to increase effectiveness and adherence to these programs while containing costs. The primary aim of the Information and Communications Technology-based System to Predict and Prevent Falls (iStoppFalls) project was to develop innovative home-based technologies for continuous monitoring and exercise-based prevention of falls in community-dwelling older people. The aim of this paper is to describe the components of the iStoppFalls system. The system comprised of 1) a TV, 2) a PC, 3) the Microsoft Kinect, 4) a wearable sensor and 5) an assessment and training software as the main components. The iStoppFalls system implements existing technologies to deliver a tailored home-based exercise and education program aimed at reducing fall risk in older people. A risk assessment tool was designed to identify fall risk factors. The content and progression rules of the iStoppFalls exergames were developed from evidence-based fall prevention interventions targeting muscle strength and balance in older people. The iStoppFalls fall prevention program, used in conjunction with the multifactorial fall risk assessment tool, aims to provide a comprehensive and individualised, yet novel fall risk assessment and prevention program that is feasible for widespread use to prevent falls and fall-related injuries. This work provides a new approach to engage older people in home-based exercise programs to complement or provide a potentially motivational alternative to traditional exercise to reduce the risk of falling. |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Germany | 2 | 1% |
| Malaysia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 173 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 17% |
| Student > Ph. D. Student | 29 | 16% |
| Student > Bachelor | 23 | 13% |
| Researcher | 22 | 12% |
| Student > Doctoral Student | 8 | 4% |
| Other | 31 | 17% |
| Unknown | 35 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 30 | 17% |
| Computer Science | 23 | 13% |
| Medicine and Dentistry | 21 | 12% |
| Sports and Recreations | 16 | 9% |
| Social Sciences | 8 | 4% |
| Other | 37 | 21% |
| Unknown | 44 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 November 2021.
All research outputs
#7,942,395
of 23,911,072 outputs
Outputs from European Review of Aging and Physical Activity
#74
of 166 outputs
Outputs of similar age
#123,990
of 395,569 outputs
Outputs of similar age from European Review of Aging and Physical Activity
#3
of 6 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 166 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 51% 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 395,569 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 54% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.