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Mental Health Care and Average Happiness: Strong Effect in Developed Nations

Overview of attention for article published in Administration & Policy in Mental Health & Mental Health Services Research, August 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 400)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
33 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
25 Mendeley
Title
Mental Health Care and Average Happiness: Strong Effect in Developed Nations
Published in
Administration & Policy in Mental Health & Mental Health Services Research, August 2014
DOI 10.1007/s10488-014-0579-8
Pubmed ID
Authors

Giorgio Touburg, Ruut Veenhoven

Abstract

Mental disorder is a main cause of unhappiness in modern society and investment in mental health care is therefore likely to add to average happiness. This prediction was checked in a comparison of 143 nations around 2005. Absolute investment in mental health care was measured using the per capita number of psychiatrists and psychologists working in mental health care. Relative investment was measured using the share of mental health care in the total health budget. Average happiness in nations was measured with responses to survey questions about life-satisfaction. Average happiness appeared to be higher in countries that invest more in mental health care, both absolutely and relative to investment in somatic medicine. A data split by level of development shows that this difference exists only among developed nations. Among these nations the link between mental health care and happiness is quite strong, both in an absolute sense and compared to other known societal determinants of happiness. The correlation between happiness and share of mental health care in the total health budget is twice as strong as the correlation between happiness and size of the health budget. A causal effect is likely, but cannot be proved in this cross-sectional analysis.

Twitter Demographics

The data shown below were collected from the profiles of 33 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 28%
Student > Master 5 20%
Student > Ph. D. Student 4 16%
Professor 2 8%
Student > Doctoral Student 2 8%
Other 5 20%
Readers by discipline Count As %
Psychology 8 32%
Social Sciences 5 20%
Medicine and Dentistry 3 12%
Neuroscience 2 8%
Economics, Econometrics and Finance 2 8%
Other 5 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 26 August 2014.
All research outputs
#607,456
of 12,817,668 outputs
Outputs from Administration & Policy in Mental Health & Mental Health Services Research
#20
of 400 outputs
Outputs of similar age
#11,187
of 192,979 outputs
Outputs of similar age from Administration & Policy in Mental Health & Mental Health Services Research
#1
of 10 outputs
Altmetric has tracked 12,817,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 192,979 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 94% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them