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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The performance of the K10, K6 and GHQ-12 to screen for present state DSM-IV disorders among disability claimants
|
|---|---|
| Published in |
BMC Public Health, February 2013
|
| DOI | 10.1186/1471-2458-13-128 |
| Pubmed ID | |
| Authors |
Bert LR Cornelius, Johan W Groothoff, Jac JL van der Klink, Sandra Brouwer |
| Abstract |
Screening for mental disorders among disability claimants is important, since mental disorders seem to be seriously under-recognized in this population. However, performance of potentially suitable scales is unknown. We aimed to evaluate the psychometric properties of three scales, the 10- and 6-item Kessler Psychological Distress Scale (K10, K6) and the 12-item General Health Questionnaire (GHQ-12), to predict present state mental disorders, classified according to the Diagnostic and Statistical Manual of Mental Disorders, 4thEdition (DSM-IV) among disability claimants. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 25% |
| Canada | 1 | 25% |
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Japan | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 133 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 15% |
| Student > Ph. D. Student | 20 | 15% |
| Student > Doctoral Student | 15 | 11% |
| Researcher | 11 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 30 | 22% |
| Unknown | 30 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 21% |
| Psychology | 29 | 21% |
| Social Sciences | 12 | 9% |
| Nursing and Health Professions | 10 | 7% |
| Arts and Humanities | 4 | 3% |
| Other | 14 | 10% |
| Unknown | 38 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 February 2013.
All research outputs
#13,030,656
of 22,696,971 outputs
Outputs from BMC Public Health
#9,079
of 14,772 outputs
Outputs of similar age
#156,983
of 287,465 outputs
Outputs of similar age from BMC Public Health
#170
of 278 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,772 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 37th percentile – i.e., 37% 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 287,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 278 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.