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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Work-related stress assessed by a text message single-item stress question
|
|---|---|
| Published in |
Occupational medicine, August 2017
|
| DOI | 10.1093/occmed/kqx111 |
| Pubmed ID | |
| Authors |
B Arapovic-Johansson, C Wåhlin, L Kwak, C Björklund, I Jensen |
| Abstract |
Given the prevalence of work stress-related ill-health in the Western world, it is important to find cost-effective, easy-to-use and valid measures which can be used both in research and in practice. To examine the validity and reliability of the single-item stress question (SISQ), distributed weekly by short message service (SMS) and used for measurement of work-related stress. The convergent validity was assessed through associations between the SISQ and subscales of the Job Demand-Control-Support model, the Effort-Reward Imbalance model and scales measuring depression, exhaustion and sleep. The predictive validity was assessed using SISQ data collected through SMS. The reliability was analysed by the test-retest procedure. Correlations between the SISQ and all the subscales except for job strain and esteem reward were significant, ranging from -0.186 to 0.627. The SISQ could also predict sick leave, depression and exhaustion at 12-month follow-up. The analysis on reliability revealed a satisfactory stability with a weighted kappa between 0.804 and 0.868. The SISQ, administered through SMS, can be used for the screening of stress levels in a working population. |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 7 | 23% |
| United Kingdom | 4 | 13% |
| New Zealand | 1 | 3% |
| Netherlands | 1 | 3% |
| Philippines | 1 | 3% |
| Austria | 1 | 3% |
| Australia | 1 | 3% |
| Denmark | 1 | 3% |
| Malta | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 61% |
| Scientists | 9 | 29% |
| Science communicators (journalists, bloggers, editors) | 3 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 15% |
| Student > Master | 12 | 15% |
| Researcher | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Student > Postgraduate | 6 | 7% |
| Other | 12 | 15% |
| Unknown | 24 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 20% |
| Psychology | 16 | 20% |
| Nursing and Health Professions | 6 | 7% |
| Business, Management and Accounting | 4 | 5% |
| Social Sciences | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 26 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 21 June 2018.
All research outputs
#1,670,668
of 25,523,622 outputs
Outputs from Occupational medicine
#151
of 2,044 outputs
Outputs of similar age
#32,265
of 327,337 outputs
Outputs of similar age from Occupational medicine
#3
of 31 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,044 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done particularly well, scoring higher than 92% 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 327,337 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 90% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.