| Title |
The multilevel determinants of workers’ mental health: results from the SALVEO study
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, July 2014
|
| DOI | 10.1007/s00127-014-0932-y |
| Pubmed ID | |
| Authors |
Alain Marchand, Pierre Durand, Victor Haines, Steve Harvey |
| Abstract |
This study examined the contribution of work, non-work and individual factors on workers' symptoms of psychological distress, depression and emotional exhaustion based on the multilevel determinants of workers' mental health model. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 67% |
| Belgium | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Unknown | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 1% |
| Chile | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 184 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 12% |
| Student > Bachelor | 23 | 12% |
| Student > Ph. D. Student | 22 | 12% |
| Student > Doctoral Student | 20 | 11% |
| Researcher | 16 | 9% |
| Other | 41 | 22% |
| Unknown | 43 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 42 | 22% |
| Medicine and Dentistry | 24 | 13% |
| Social Sciences | 20 | 11% |
| Business, Management and Accounting | 19 | 10% |
| Nursing and Health Professions | 15 | 8% |
| Other | 20 | 11% |
| Unknown | 48 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 January 2022.
All research outputs
#1,389,326
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#249
of 2,534 outputs
Outputs of similar age
#14,432
of 230,399 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#5
of 43 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 90% 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 230,399 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 93% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.