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Attention Score in Context
| Title |
Planning for Retirement: Longitudinal Effect on Retirement Resources and Post-retirement Well-being
|
|---|---|
| Published in |
Frontiers in Psychology, July 2017
|
| DOI | 10.3389/fpsyg.2017.01300 |
| Pubmed ID | |
| Authors |
Dannii Y. Yeung, Xiaoyu Zhou |
| Abstract |
Retirement is a major life event, and a positive adjustment to retirement is essential for maintaining physical and psychological well-being in later life. Previous research demonstrates that pre-retirement planning predicts post-retirement well-being. This study further explores the underlying mechanism between planning activities and post-retirement well-being. By applying the resource-based dynamic model (Wang et al., 2011), the present longitudinal study examines whether pre-retirement planning activities can increase the total resources of retirees, including tangible, mental and social resources, and consequently contribute to better psychological and physical well-being 1 year after actual retirement. A total of 118 Hong Kong Chinese retirees completed three assessments: Time 1 assessment was conducted 6 months before retirement, and Times 2 and 3 assessments were carried out 6 and 12 months, respectively, after retirement. Latent growth models were employed to examine changes in retirement resources and post-retirement well-being over time. Consistent with the proposition of the resource-based dynamic model, positive changes in well-being were observed in the retirees with increases in retirement resources between pre- and post-retirement phases. The results of the latent growth mediation models also support our prediction: retirees with more preparatory activities before retirement acquire greater resources at the initial stage, which contribute to positive changes in post-retirement well-being over time. |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 191 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 25 | 13% |
| Student > Ph. D. Student | 22 | 12% |
| Student > Master | 18 | 9% |
| Researcher | 14 | 7% |
| Student > Doctoral Student | 14 | 7% |
| Other | 36 | 19% |
| Unknown | 62 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 35 | 18% |
| Business, Management and Accounting | 24 | 13% |
| Social Sciences | 20 | 10% |
| Economics, Econometrics and Finance | 15 | 8% |
| Sports and Recreations | 7 | 4% |
| Other | 22 | 12% |
| Unknown | 68 | 36% |
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 27 July 2017.
All research outputs
#19,393,582
of 24,699,496 outputs
Outputs from Frontiers in Psychology
#22,751
of 33,325 outputs
Outputs of similar age
#234,566
of 321,757 outputs
Outputs of similar age from Frontiers in Psychology
#435
of 560 outputs
Altmetric has tracked 24,699,496 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,325 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 25th percentile – i.e., 25% 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 321,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 560 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.