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Self-Rated Health as a Predictor of Disability Retirement – The Contribution of Ill-Health and Working Conditions

Overview of attention for article published in PLOS ONE, September 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
73 Mendeley
citeulike
1 CiteULike
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Title
Self-Rated Health as a Predictor of Disability Retirement – The Contribution of Ill-Health and Working Conditions
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025004
Pubmed ID
Authors

Olli Pietiläinen, Mikko Laaksonen, Ossi Rahkonen, Eero Lahelma

Abstract

Self-rated health is a generic health indicator predicting mortality, many diseases, and need for care. We examined self-rated health as a predictor of subsequent disability retirement, and ill-health and working conditions as potential explanations for the association.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Canada 1 1%
Unknown 70 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 21%
Researcher 9 12%
Student > Master 8 11%
Student > Bachelor 8 11%
Student > Doctoral Student 5 7%
Other 11 15%
Unknown 17 23%
Readers by discipline Count As %
Medicine and Dentistry 14 19%
Social Sciences 14 19%
Psychology 9 12%
Nursing and Health Professions 7 10%
Engineering 3 4%
Other 6 8%
Unknown 20 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2015.
All research outputs
#8,262,193
of 26,017,215 outputs
Outputs from PLOS ONE
#111,212
of 225,486 outputs
Outputs of similar age
#46,623
of 144,077 outputs
Outputs of similar age from PLOS ONE
#949
of 2,580 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 49th percentile – i.e., 49% 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 144,077 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 2,580 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 60% of its contemporaries.