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Mendeley readers
Attention Score in Context
| Title |
Pathways through which health influences early retirement: a qualitative study
|
|---|---|
| Published in |
BMC Public Health, April 2013
|
| DOI | 10.1186/1471-2458-13-292 |
| Pubmed ID | |
| Authors |
Astrid de Wind, Goedele A Geuskens, Kerstin G Reeuwijk, Marjan J Westerman, Jan Fekke Ybema, Alex Burdorf, Paulien M Bongers, Allard J van der Beek |
| Abstract |
Due to the aging of the population, there is a societal need for workers to prolong their working lives. In the Netherlands, many employees still leave the workforce before the official retirement age of 65. Previous quantitative research showed that poor self-perceived health is a risk factor of (non-disability) early retirement. However, little is known on how poor health may lead to early retirement, and why poor health leads to early retirement in some employees, but not in others. Therefore, the present qualitative study aims to identify in which ways health influences early retirement. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 22% |
| Australia | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Unknown | 78 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Researcher | 10 | 13% |
| Student > Ph. D. Student | 10 | 13% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 28 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 19 | 24% |
| Nursing and Health Professions | 7 | 9% |
| Medicine and Dentistry | 7 | 9% |
| Psychology | 6 | 8% |
| Business, Management and Accounting | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 30 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 April 2013.
All research outputs
#6,731,570
of 23,881,329 outputs
Outputs from BMC Public Health
#7,029
of 15,466 outputs
Outputs of similar age
#55,499
of 202,068 outputs
Outputs of similar age from BMC Public Health
#124
of 298 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
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 gotten more attention than average, scoring higher than 54% 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 202,068 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 298 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 58% of its contemporaries.