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A prospective cohort study of disability pension due to mental diagnoses: the importance of health factors and behaviors

Overview of attention for article published in BMC Public Health, July 2013
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4 X users

Citations

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17 Dimensions

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33 Mendeley
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Title
A prospective cohort study of disability pension due to mental diagnoses: the importance of health factors and behaviors
Published in
BMC Public Health, July 2013
DOI 10.1186/1471-2458-13-621
Pubmed ID
Authors

Åsa Samuelsson, Annina Ropponen, Kristina Alexanderson, Pia Svedberg

Abstract

Previous studies have found associations between various health factors and behaviors and mental disorders. However, knowledge of such associations with disability pension (DP) due to mental diagnoses is scarce. Moreover, the influence of familial factors (genetics and family background) on the associations are mainly unknown. The aim of the study was to investigate associations between health factors and behaviors and future DP due to mental diagnoses in a twin cohort, accounting for familial confounding.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Ph. D. Student 4 12%
Student > Bachelor 3 9%
Student > Doctoral Student 3 9%
Professor > Associate Professor 3 9%
Other 6 18%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 11 33%
Social Sciences 4 12%
Psychology 4 12%
Arts and Humanities 1 3%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 11 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 July 2013.
All research outputs
#15,172,753
of 23,337,345 outputs
Outputs from BMC Public Health
#11,151
of 15,210 outputs
Outputs of similar age
#117,394
of 195,779 outputs
Outputs of similar age from BMC Public Health
#191
of 244 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 23rd percentile – i.e., 23% 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 195,779 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 244 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.