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Domains and determinants of retirement timing: A systematic review of longitudinal studies

Overview of attention for article published in BMC Public Health, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
1 news outlet
policy
1 policy source

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
107 Mendeley
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Title
Domains and determinants of retirement timing: A systematic review of longitudinal studies
Published in
BMC Public Health, August 2018
DOI 10.1186/s12889-018-5983-7
Pubmed ID
Authors

Micky Scharn, Ranu Sewdas, Cécile R. L. Boot, Martijn Huisman, Maarten Lindeboom, Allard J. van der Beek

Abstract

To date, determinants of retirement timing have been studied separately within various disciplines, such as occupational health and economics. This narrative literature review explores the determinants of retirement timing in countries, and relevant domains among older workers from both an economic and occupational health perspective. A literature search was conducted using 11 databases. Longitudinal studies on determinants of retirement timing were included. Study inclusion criteria were as follows: full-text article written in English or Dutch, conducted in humans, main outcome was time until retirement (i.e. retirement date or retirement age), and longitudinal design. Next, the included articles were screened for hypotheses on retirement timing and these articles with hypotheses were subjected to a quality assessment. Determinants for retirement timing were classified into multiple domains by three researchers. The literature search identified 20 articles. The determinants of retirement timing were classified into eight domains: demographic factors, health factors, social factors, social participation, work characteristics, financial factors, retirement preferences, and macro effects. In total, we identified 49 determinants, ranging from one (social, and retirement preferences) to 21 determinants (work characteristics) per domain. The findings suggest that there is a wide range of determinants that influence retirement timing in modern industrialized countries and that these determinants differ between countries. We recommend that researchers include determinants from various domains when studying retirement timing, while taking into account a country's context.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 15%
Student > Ph. D. Student 10 9%
Student > Bachelor 10 9%
Researcher 9 8%
Student > Postgraduate 9 8%
Other 20 19%
Unknown 33 31%
Readers by discipline Count As %
Social Sciences 17 16%
Medicine and Dentistry 11 10%
Economics, Econometrics and Finance 11 10%
Psychology 9 8%
Nursing and Health Professions 7 7%
Other 12 11%
Unknown 40 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 September 2023.
All research outputs
#2,990,478
of 24,501,737 outputs
Outputs from BMC Public Health
#3,483
of 16,191 outputs
Outputs of similar age
#58,947
of 339,377 outputs
Outputs of similar age from BMC Public Health
#69
of 255 outputs
Altmetric has tracked 24,501,737 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,191 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 78% 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 339,377 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 82% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.