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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GETTING STUCK IN THE BLUES: PERSISTENCE OF MENTAL HEALTH PROBLEMS IN AUSTRALIA
|
|---|---|
| Published in |
Health economics (Online), August 2013
|
| DOI | 10.1002/hec.2967 |
| Pubmed ID | |
| Authors |
John Roy, Stefanie Schurer |
| Abstract |
Do episodes of mental health (MH) problems cause future MH problems, and if yes, how strong are these dynamics? We quantify the degree of persistence in MH problems using nationally representative, longitudinal data from Australia and system generalized method of moments (GMM), and correlated random effects approaches are applied to separate true from spurious state dependence. Our results suggest only a moderate degree of persistence in MH problems when assuming that persistence is constant across the MH distribution once individual-specific heterogeneity is accounted for. However, individuals who fell once below a threshold that indicates an episode of depression are up to five times more likely to experience such a low score again a year later, indicating a strong element of state dependence in depression. Low income is a strong risk factor in state dependence for both men and women, which has important policy implications. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Researcher | 10 | 17% |
| Student > Doctoral Student | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Other | 6 | 10% |
| Unknown | 15 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 10 | 17% |
| Medicine and Dentistry | 9 | 16% |
| Social Sciences | 5 | 9% |
| Psychology | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 18 | 31% |
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 04 April 2014.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Health economics (Online)
#2,493
of 2,666 outputs
Outputs of similar age
#159,000
of 209,321 outputs
Outputs of similar age from Health economics (Online)
#32
of 39 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,666 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 3rd percentile – i.e., 3% 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 209,321 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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.