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Using the Interaction of Mental Health Symptoms and Treatment Status to Estimate Lost Employee Productivity

Overview of attention for article published in Australian & New Zealand Journal of Psychiatry, February 2010
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 policy source
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2 X users

Citations

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58 Dimensions

Readers on

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121 Mendeley
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Title
Using the Interaction of Mental Health Symptoms and Treatment Status to Estimate Lost Employee Productivity
Published in
Australian & New Zealand Journal of Psychiatry, February 2010
DOI 10.3109/00048670903393605
Pubmed ID
Authors

Michael F. Hilton, Paul A. Scuffham, Nerina Vecchio, Harvey A. Whiteford

Abstract

In Australia it has been estimated that mental health symptoms result in a loss of $ AU2.7 billion in employee productivity. To date, however, there has been only one study quantifying employee productivity decrements due to mental disorders when treatment-seeking behaviours are considered. The aim of the current paper was to estimate employee work productivity by mental health symptoms while considering different treatment-seeking behaviours.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Australia 1 <1%
Unknown 119 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 15%
Student > Master 17 14%
Student > Bachelor 14 12%
Student > Doctoral Student 9 7%
Researcher 8 7%
Other 22 18%
Unknown 33 27%
Readers by discipline Count As %
Psychology 25 21%
Medicine and Dentistry 13 11%
Business, Management and Accounting 12 10%
Social Sciences 11 9%
Nursing and Health Professions 6 5%
Other 21 17%
Unknown 33 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 November 2023.
All research outputs
#6,921,248
of 24,744,050 outputs
Outputs from Australian & New Zealand Journal of Psychiatry
#953
of 2,433 outputs
Outputs of similar age
#43,306
of 173,426 outputs
Outputs of similar age from Australian & New Zealand Journal of Psychiatry
#8
of 14 outputs
Altmetric has tracked 24,744,050 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,433 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 60% 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 173,426 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 74% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.