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Evaluating a Two-Level vs. Three-Level Fall Risk Screening Algorithm for Predicting Falls Among Older Adults

Overview of attention for article published in Frontiers in Public Health, August 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Evaluating a Two-Level vs. Three-Level Fall Risk Screening Algorithm for Predicting Falls Among Older Adults
Published in
Frontiers in Public Health, August 2020
DOI 10.3389/fpubh.2020.00373
Pubmed ID
Authors

Thelma J. Mielenz, Sneha Kannoth, Haomiao Jia, Kristin Pullyblank, Julie Sorensen, Paul Estabrooks, Judy A. Stevens, David Strogatz

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 12%
Student > Bachelor 4 12%
Student > Doctoral Student 4 12%
Lecturer 2 6%
Researcher 2 6%
Other 5 15%
Unknown 13 38%
Readers by discipline Count As %
Nursing and Health Professions 9 26%
Medicine and Dentistry 4 12%
Psychology 1 3%
Business, Management and Accounting 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 17 50%
Attention Score in Context

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 02 September 2020.
All research outputs
#13,615,577
of 23,230,825 outputs
Outputs from Frontiers in Public Health
#3,194
of 10,694 outputs
Outputs of similar age
#198,543
of 398,509 outputs
Outputs of similar age from Frontiers in Public Health
#124
of 278 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,694 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has gotten more attention than average, scoring higher than 69% 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 398,509 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 278 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.