| Title |
Major depression epidemiology from a diathesis-stress conceptualization
|
|---|---|
| Published in |
BMC Psychiatry, January 2013
|
| DOI | 10.1186/1471-244x-13-19 |
| Pubmed ID | |
| Authors |
Scott B Patten |
| Abstract |
Major depression is a widely used diagnostic category but there is increasing dissatisfaction with its performance. The diathesis-stress model is an alternative approach that does not require the (sometimes arbitrary) imposition of categories onto the spectrum of depressive morbidity. However, application of this model has not been well explored and its consistency with available epidemiologic data is uncertain. |
Twitter Demographics
The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 50% |
| Belgium | 1 | 17% |
| Egypt | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Mexico | 1 | 1% |
| Greece | 1 | 1% |
| Unknown | 77 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 19% |
| Student > Master | 14 | 17% |
| Student > Bachelor | 13 | 16% |
| Student > Doctoral Student | 6 | 7% |
| Researcher | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 28 | 35% |
| Medicine and Dentistry | 19 | 23% |
| Neuroscience | 5 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Chemical Engineering | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 18 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 January 2013.
All research outputs
#7,343,817
of 24,378,020 outputs
Outputs from BMC Psychiatry
#2,546
of 5,128 outputs
Outputs of similar age
#77,364
of 291,144 outputs
Outputs of similar age from BMC Psychiatry
#40
of 94 outputs
Altmetric has tracked 24,378,020 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,128 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 50% 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 291,144 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 73% of its contemporaries.
We're also able to compare this research output to 94 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.