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Working conditions, self-perceived stress, anxiety, depression and quality of life: A structural equation modelling approach

Overview of attention for article published in BMC Public Health, February 2008
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1 X user

Citations

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194 Dimensions

Readers on

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302 Mendeley
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Title
Working conditions, self-perceived stress, anxiety, depression and quality of life: A structural equation modelling approach
Published in
BMC Public Health, February 2008
DOI 10.1186/1471-2458-8-48
Pubmed ID
Authors

Bin Nordin Rusli, Bin Abdin Edimansyah, Lin Naing

Abstract

The relationships between working conditions [job demand, job control and social support]; stress, anxiety, and depression; and perceived quality of life factors [physical health, psychological wellbeing, social relationships and environmental conditions] were assessed using a sample of 698 male automotive assembly workers in Malaysia.

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 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Brazil 2 <1%
Portugal 1 <1%
Ghana 1 <1%
Malaysia 1 <1%
Colombia 1 <1%
Mexico 1 <1%
India 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 288 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 19%
Student > Master 44 15%
Researcher 30 10%
Student > Bachelor 30 10%
Student > Doctoral Student 18 6%
Other 62 21%
Unknown 60 20%
Readers by discipline Count As %
Medicine and Dentistry 59 20%
Psychology 48 16%
Social Sciences 38 13%
Business, Management and Accounting 19 6%
Engineering 11 4%
Other 54 18%
Unknown 73 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 April 2012.
All research outputs
#18,305,773
of 22,664,644 outputs
Outputs from BMC Public Health
#12,753
of 14,744 outputs
Outputs of similar age
#146,482
of 156,013 outputs
Outputs of similar age from BMC Public Health
#29
of 33 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% 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 156,013 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.