You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Does work-personal life interference predict turnover among male and female managers, and do depressive symptoms mediate the association? A longitudinal study based on a Swedish cohort
|
|---|---|
| Published in |
BMC Public Health, July 2018
|
| DOI | 10.1186/s12889-018-5736-7 |
| Pubmed ID | |
| Authors |
Anna Nyberg, Paraskevi Peristera, Claudia Bernhard-Oettel, Constanze Leineweber |
| Abstract |
In the present study we used a longitudinal design to examine if work-personal life interference predicted managerial turnover, if depressive symptoms mediated the association, and if the relationships differed by gender. Data were drawn from four waves (2010, 2012, 2014 and 2016) of the Swedish Longitudinal Occupational Survey of Health (SLOSH), a cohort of the Swedish working population. Participants who in any wave reported to have a managerial or other leading position were included (n = 717 men and 741 women). Autoregressive longitudinal mediation models within a multilevel structural equation modelling (MSEM) framework, in which repeated measures (level 1) were nested within individuals (level 2), were fitted to data. First, bivariate autoregressive and cross-lagged paths between the variables were fitted in gender stratified models. Secondly, a full gender stratified mediation model was built to estimate if the association between work-personal life interference and turnover was mediated through depressive symptoms. Gender differences in cross-lagged paths were estimated with multiple-group analysis. All analyses were adjusted for age, education, labour market sector, civil status and children living at home, and conducted in MPLUS 7. In both genders there were significant paths between work-personal life interference and turnover. Depressive symptoms were, however, not found to mediate in the relationship between work-personal life interference and turnover. The models differed significantly between genders. Establishing organisational prerequisites for good work-personal life balance among managers may be a means to retain both male and female managerial talent. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Student > Ph. D. Student | 6 | 10% |
| Professor > Associate Professor | 4 | 6% |
| Other | 12 | 19% |
| Unknown | 21 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 9 | 14% |
| Psychology | 8 | 13% |
| Nursing and Health Professions | 5 | 8% |
| Medicine and Dentistry | 5 | 8% |
| Business, Management and Accounting | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 24 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 05 July 2022.
All research outputs
#2,041,629
of 23,881,329 outputs
Outputs from BMC Public Health
#2,272
of 15,466 outputs
Outputs of similar age
#43,279
of 329,959 outputs
Outputs of similar age from BMC Public Health
#73
of 333 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 85% 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 329,959 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 333 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.