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Development and validation of a questionnaire for analyzing real-life falls in long-term care captured on video

Overview of attention for article published in BMC Geriatrics, May 2013
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Title
Development and validation of a questionnaire for analyzing real-life falls in long-term care captured on video
Published in
BMC Geriatrics, May 2013
DOI 10.1186/1471-2318-13-40
Pubmed ID
Authors

Yijian Yang, Rebecca Schonnop, Fabio Feldman, Stephen N Robinovitch

Abstract

Falls are the number one cause of injuries in older adults, and are particularly common in long-term care (LTC). Lack of objective evidence on the mechanisms of falls in this setting is a major barrier to prevention. Video capture of real-life falls can help to address this barrier, if valid tools are available for data analysis. To address this need, we developed a 24-item fall video analysis questionnaire (FVAQ) to probe key biomechanical, behavioural, situational, and environmental aspects of the initiation, descent, and impact stages of falls. We then tested the reliability of this tool using video footage of falls collected in LTC.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Spain 1 <1%
Unknown 123 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 16%
Student > Ph. D. Student 19 15%
Student > Bachelor 18 14%
Researcher 13 10%
Professor 6 5%
Other 18 14%
Unknown 32 25%
Readers by discipline Count As %
Medicine and Dentistry 26 21%
Nursing and Health Professions 19 15%
Engineering 13 10%
Sports and Recreations 8 6%
Agricultural and Biological Sciences 4 3%
Other 18 14%
Unknown 38 30%
Attention Score in Context

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 05 June 2013.
All research outputs
#15,271,180
of 22,709,015 outputs
Outputs from BMC Geriatrics
#2,324
of 3,144 outputs
Outputs of similar age
#119,345
of 192,822 outputs
Outputs of similar age from BMC Geriatrics
#22
of 25 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,144 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 20th percentile – i.e., 20% 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 192,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.