↓ Skip to main content

Frailty measurement in research and clinical practice: A review

Overview of attention for article published in European Journal of Internal Medicine, March 2016
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Citations

dimensions_citation
841 Dimensions

Readers on

mendeley
1099 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Frailty measurement in research and clinical practice: A review
Published in
European Journal of Internal Medicine, March 2016
DOI 10.1016/j.ejim.2016.03.007
Pubmed ID
Authors

Elsa Dent, Paul Kowal, Emiel O. Hoogendijk

Abstract

One of the leading causes of morbidity and premature mortality in older people is frailty. Frailty occurs when multiple physiological systems decline, to the extent that an individual's cellular repair mechanisms cannot maintain system homeostasis. This review gives an overview of the definitions and measurement of frailty in research and clinical practice, including: Fried's frailty phenotype; Rockwood and Mitnitski's Frailty Index (FI); the Study of Osteoporotic Fractures (SOF) Index; Edmonton Frailty Scale (EFS); the Fatigue, Resistance, Ambulation, Illness and Loss of weight (FRAIL) Index; Clinical Frailty Scale (CFS); the Multidimensional Prognostic Index (MPI); Tilburg Frailty Indicator (TFI); PRISMA-7; Groningen Frailty Indicator (GFI), Sherbrooke Postal Questionnaire (SPQ); the Gérontopôle Frailty Screening Tool (GFST) and the Kihon Checklist (KCL), among others. We summarise the main strengths and limitations of existing frailty measurements, and examine how well these measurements operationalise frailty according to Clegg's guidelines for frailty classification - that is: their accuracy in identifying frailty; their basis on biological causative theory; and their ability to reliably predict patient outcomes and response to potential therapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 1,099 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
Colombia 1 <1%
Korea, Republic of 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Poland 1 <1%
Unknown 1092 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 169 15%
Student > Bachelor 115 10%
Student > Ph. D. Student 110 10%
Researcher 106 10%
Student > Doctoral Student 81 7%
Other 226 21%
Unknown 292 27%
Readers by discipline Count As %
Medicine and Dentistry 361 33%
Nursing and Health Professions 171 16%
Social Sciences 39 4%
Psychology 26 2%
Agricultural and Biological Sciences 24 2%
Other 131 12%
Unknown 347 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 20 October 2021.
All research outputs
#1,304,368
of 26,017,215 outputs
Outputs from European Journal of Internal Medicine
#109
of 2,264 outputs
Outputs of similar age
#21,983
of 319,182 outputs
Outputs of similar age from European Journal of Internal Medicine
#2
of 37 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,264 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 95% 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 319,182 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 92% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.