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Predictive validity of the Stopping Elderly Accidents, Deaths

Overview of attention for article published in BMC Medicine, March 2022
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2 X users

Citations

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12 Dimensions

Readers on

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32 Mendeley
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Title
Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly
Published in
BMC Medicine, March 2022
DOI 10.1186/s12916-022-02280-w
Pubmed ID
Authors

Sriprapa Loonlawong, Weerawat Limroongreungrat, Thanapoom Rattananupong, Kamonrat Kittipimpanon, Wanvisa Saisanan Na Ayudhaya, Wiroj Jiamjarasrangsi

X Demographics

X Demographics

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 9%
Student > Master 3 9%
Student > Bachelor 2 6%
Professor 1 3%
Lecturer 1 3%
Other 1 3%
Unknown 21 66%
Readers by discipline Count As %
Nursing and Health Professions 6 19%
Medicine and Dentistry 2 6%
Environmental Science 1 3%
Earth and Planetary Sciences 1 3%
Computer Science 1 3%
Other 0 0%
Unknown 21 66%
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 19 July 2022.
All research outputs
#19,757,934
of 25,152,132 outputs
Outputs from BMC Medicine
#3,548
of 3,939 outputs
Outputs of similar age
#308,658
of 437,381 outputs
Outputs of similar age from BMC Medicine
#101
of 113 outputs
Altmetric has tracked 25,152,132 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,939 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one is in the 7th percentile – i.e., 7% 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 437,381 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.