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Support and Assessment for Fall Emergency Referrals (SAFER 1) trial protocol. Computerised on-scene decision support for emergency ambulance staff to assess and plan care for older people who have…

Overview of attention for article published in BMC Emergency Medicine, January 2010
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1 X user

Citations

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Title
Support and Assessment for Fall Emergency Referrals (SAFER 1) trial protocol. Computerised on-scene decision support for emergency ambulance staff to assess and plan care for older people who have fallen: evaluation of costs and benefits using a pragmatic cluster randomised trial
Published in
BMC Emergency Medicine, January 2010
DOI 10.1186/1471-227x-10-2
Pubmed ID
Authors

Helen Snooks, Wai-Yee Cheung, Jacqueline Close, Jeremy Dale, Sarah Gaze, Ioan Humphreys, Ronan Lyons, Suzanne Mason, Yasmin Merali, Julie Peconi, Ceri Phillips, Judith Phillips, Stephen Roberts, Ian Russell, Antonio Sánchez, Mushtaq Wani, Bridget Wells, Richard Whitfield

Abstract

Many emergency ambulance calls are for older people who have fallen. As half of them are left at home, a community-based response may often be more appropriate than hospital attendance. The SAFER 1 trial will assess the costs and benefits of a new healthcare technology--hand-held computers with computerised clinical decision support (CCDS) software--to help paramedics decide who needs hospital attendance, and who can be safely left at home with referral to community falls services.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 3%
United States 3 2%
Italy 1 <1%
Canada 1 <1%
Switzerland 1 <1%
Unknown 170 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 16%
Student > Ph. D. Student 27 15%
Student > Master 23 13%
Student > Bachelor 17 9%
Other 11 6%
Other 35 19%
Unknown 39 22%
Readers by discipline Count As %
Medicine and Dentistry 64 35%
Nursing and Health Professions 23 13%
Social Sciences 15 8%
Psychology 7 4%
Economics, Econometrics and Finance 6 3%
Other 20 11%
Unknown 46 25%
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 18 April 2014.
All research outputs
#15,299,491
of 22,753,345 outputs
Outputs from BMC Emergency Medicine
#474
of 747 outputs
Outputs of similar age
#134,443
of 164,686 outputs
Outputs of similar age from BMC Emergency Medicine
#1
of 2 outputs
Altmetric has tracked 22,753,345 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 747 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 28th percentile – i.e., 28% 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 164,686 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them