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Mendeley readers
Attention Score in Context
Title |
Multiple transitions in sick leave, disability benefits, and return to work. - A 4-year follow-up of patients participating in a work-related rehabilitation program
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Published in |
BMC Public Health, September 2012
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DOI | 10.1186/1471-2458-12-748 |
Pubmed ID | |
Authors |
Irene Øyeflaten, Stein Atle Lie, Camilla M Ihlebæk, Hege R Eriksen |
Abstract |
Return to work (RTW) after long-term sick leave can be a long-lasting process where the individual may shift between work and receiving different social security benefits, as well as between part-time and full-time work. This is a challenge in the assessment of RTW outcomes after rehabilitation interventions. The aim of this study was to analyse the probability for RTW, and the probabilities of transitions between different benefits during a 4-year follow-up, after participating in a work-related rehabilitation program. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Denmark | 1 | 1% |
Unknown | 67 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 20% |
Researcher | 10 | 14% |
Student > Master | 8 | 12% |
Professor > Associate Professor | 7 | 10% |
Student > Postgraduate | 5 | 7% |
Other | 11 | 16% |
Unknown | 14 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 26% |
Psychology | 12 | 17% |
Mathematics | 5 | 7% |
Social Sciences | 5 | 7% |
Arts and Humanities | 3 | 4% |
Other | 11 | 16% |
Unknown | 15 | 22% |
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 14 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from BMC Public Health
#11,260
of 14,762 outputs
Outputs of similar age
#106,924
of 169,178 outputs
Outputs of similar age from BMC Public Health
#261
of 333 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,762 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 16th percentile – i.e., 16% 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 169,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
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 is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.