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Predicting mortality of residents at admission to nursing home: A longitudinal cohort study

Overview of attention for article published in BMC Health Services Research, April 2011
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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)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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19 X users

Citations

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79 Dimensions

Readers on

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139 Mendeley
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Title
Predicting mortality of residents at admission to nursing home: A longitudinal cohort study
Published in
BMC Health Services Research, April 2011
DOI 10.1186/1472-6963-11-86
Pubmed ID
Authors

Ingibjörg Hjaltadóttir, Ingalill Rahm Hallberg, Anna Kristensson Ekwall, Per Nyberg

Abstract

An increasing numbers of deaths occur in nursing homes. Knowledge of the course of development over the years in death rates and predictors of mortality is important for officials responsible for organizing care to be able to ensure that staff is knowledgeable in the areas of care needed. The aim of this study was to investigate the time from residents' admission to Icelandic nursing homes to death and the predictive power of demographic variables, health status (health stability, pain, depression and cognitive performance) and functional profile (ADL and social engagement) for 3-year mortality in yearly cohorts from 1996-2006.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
Spain 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 132 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 17%
Researcher 18 13%
Student > Ph. D. Student 18 13%
Student > Doctoral Student 9 6%
Student > Bachelor 9 6%
Other 26 19%
Unknown 35 25%
Readers by discipline Count As %
Medicine and Dentistry 42 30%
Nursing and Health Professions 22 16%
Social Sciences 10 7%
Psychology 8 6%
Computer Science 3 2%
Other 16 12%
Unknown 38 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 13 April 2022.
All research outputs
#2,570,176
of 25,402,889 outputs
Outputs from BMC Health Services Research
#1,055
of 8,646 outputs
Outputs of similar age
#11,142
of 120,046 outputs
Outputs of similar age from BMC Health Services Research
#7
of 49 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,646 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 87% 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 120,046 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 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.