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The validation of a care partner-derived frailty index based upon comprehensive geriatric assessment (CP-FI-CGA) in emergency medical services and geriatric ambulatory care

Overview of attention for article published in Age & Ageing, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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26 X users

Citations

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39 Dimensions

Readers on

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95 Mendeley
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Title
The validation of a care partner-derived frailty index based upon comprehensive geriatric assessment (CP-FI-CGA) in emergency medical services and geriatric ambulatory care
Published in
Age & Ageing, November 2014
DOI 10.1093/ageing/afu161
Pubmed ID
Authors

Judah Goldstein, Ruth E. Hubbard, Paige Moorhouse, Melissa K. Andrew, Arnold Mitnitski, Kenneth Rockwood

Abstract

the derivation of a frailty index (FI) based on deficit accumulation from a Comprehensive Geriatric Assessment (CGA) has been criticised as cumbersome. To improve feasibility, we developed a questionnaire based on a CGA that can be completed by care partners (CP-FI-CGA) and assessed its validity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United Kingdom 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 19%
Student > Master 15 16%
Student > Doctoral Student 9 9%
Other 7 7%
Student > Ph. D. Student 7 7%
Other 17 18%
Unknown 22 23%
Readers by discipline Count As %
Medicine and Dentistry 41 43%
Nursing and Health Professions 11 12%
Psychology 5 5%
Social Sciences 3 3%
Computer Science 2 2%
Other 7 7%
Unknown 26 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 23 February 2016.
All research outputs
#2,299,403
of 25,457,858 outputs
Outputs from Age & Ageing
#1,037
of 3,818 outputs
Outputs of similar age
#26,210
of 273,900 outputs
Outputs of similar age from Age & Ageing
#22
of 63 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,818 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one has gotten more attention than average, scoring higher than 72% 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 273,900 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 63 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 66% of its contemporaries.