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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The identification of job opportunities for severely disabled sick-listed employees
|
|---|---|
| Published in |
BMC Public Health, March 2012
|
| DOI | 10.1186/1471-2458-12-156 |
| Pubmed ID | |
| Authors |
Jake PJ Broersen, Henny PG Mulders, Antonius JM Schellart, Allard J van der Beek |
| Abstract |
Work disability is a major problem for both the worker and society. To explore the work opportunities in regular jobs of persons low in functional abilities, we tried to identify occupations low in task demands. Because of the variety of functional abilities and of the corresponding work demands, the disabled persons need to be classified by type of disability in a limited number of subgroups. Within each subgroup, occupations judged suitable for the most seriously disabled will be selected as having a very low level of the corresponding task demands. These occupations can be applied as reference occupations to assess the presence or absence of work capacity of sick-listed employees in regular jobs, and as job opportunities for people with a specific type of functional disability. |
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 % |
|---|---|---|
| Mexico | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 6 | 18% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Doctoral Student | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 10 | 29% |
| Medicine and Dentistry | 4 | 12% |
| Nursing and Health Professions | 3 | 9% |
| Computer Science | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 7 | 21% |
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 06 March 2012.
All research outputs
#20,166,456
of 25,654,806 outputs
Outputs from BMC Public Health
#14,915
of 17,751 outputs
Outputs of similar age
#128,765
of 169,005 outputs
Outputs of similar age from BMC Public Health
#172
of 203 outputs
Altmetric has tracked 25,654,806 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 17,751 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 13th percentile – i.e., 13% 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 169,005 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.