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Falls in the elderly were predicted opportunistically using a decision tree and systematically using a database-driven screening tool

Overview of attention for article published in Journal of Clinical Epidemiology, April 2014
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Mentioned by

twitter
1 X user
reddit
1 Redditor

Readers on

mendeley
155 Mendeley
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Article details
Title
Falls in the elderly were predicted opportunistically using a decision tree and systematically using a database-driven screening tool
Published in
Journal of Clinical Epidemiology, April 2014
DOI 10.1016/j.jclinepi.2014.03.008
Pubmed ID
Authors
Abstract

To identify risk factors for falls and generate two screening tools: an opportunistic tool for use in consultation to flag at risk patients and a systematic database screening tool for comprehensive falls assessment of the practice population.

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Timeline Attention over time Attention Score history
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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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Spain 2 1%
United Kingdom 1 <1%
France 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 149 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 27 17%
Student > Master 20 13%
Student > Bachelor 14 9%
Researcher 14 9%
Student > Doctoral Student 12 8%
Other 34 22%
Unknown 34 22%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 44 28%
Nursing and Health Professions 15 10%
Psychology 8 5%
Engineering 8 5%
Computer Science 7 5%
Other 34 22%
Unknown 39 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 February 2021.
All research outputs
#22,255,106
of 32,125,052 outputs
Outputs from Journal of Clinical Epidemiology
#4,213
of 5,062 outputs
Outputs of similar age
#169,747
of 263,241 outputs
Outputs of similar age from Journal of Clinical Epidemiology
#26
of 38 outputs
Altmetric has tracked 32,125,052 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 15th percentile – i.e., 15% 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 263,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.