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Dove Medical Press

Identifying functional decline: a methodological challenge

Overview of attention for article published in Patient related outcome measures, August 2013
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Title
Identifying functional decline: a methodological challenge
Published in
Patient related outcome measures, August 2013
DOI 10.2147/prom.s42474
Pubmed ID
Authors

Karen Grimmer, Kate Beaton, Kevan Hendry

Abstract

Functional decline (FD) in older people has commonly been measured in the hospital setting with instruments which have been validated on decrease over time in capacity to undertake basic activities of daily living (ADL). In a nonhospitalized sample of older people (independently community dwelling, but potentially on the cusp of FD), it is possible that other measures could be used to predict decline. Early, accurate, and efficient identification of older community-dwelling people who are on the cusp of FD can assist in identifying appropriate interventions to slow the rate of decline.

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

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Mexico 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 31%
Student > Ph. D. Student 5 14%
Student > Bachelor 3 8%
Student > Doctoral Student 3 8%
Researcher 3 8%
Other 5 14%
Unknown 6 17%
Readers by discipline Count As %
Medicine and Dentistry 13 36%
Nursing and Health Professions 5 14%
Social Sciences 2 6%
Sports and Recreations 2 6%
Agricultural and Biological Sciences 1 3%
Other 4 11%
Unknown 9 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 02 December 2013.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Patient related outcome measures
#111
of 186 outputs
Outputs of similar age
#133,568
of 210,451 outputs
Outputs of similar age from Patient related outcome measures
#2
of 4 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 186 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 25th percentile – i.e., 25% 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 210,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.