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Major depression epidemiology from a diathesis-stress conceptualization

Overview of attention for article published in BMC Psychiatry, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
74 Mendeley
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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 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Mexico 1 1%
Greece 1 1%
Unknown 70 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Student > Master 13 18%
Student > Bachelor 11 15%
Student > Doctoral Student 6 8%
Researcher 5 7%
Other 13 18%
Unknown 11 15%
Readers by discipline Count As %
Psychology 27 36%
Medicine and Dentistry 18 24%
Neuroscience 5 7%
Agricultural and Biological Sciences 2 3%
Mathematics 1 1%
Other 7 9%
Unknown 14 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#4,094,783
of 15,427,447 outputs
Outputs from BMC Psychiatry
#1,493
of 3,472 outputs
Outputs of similar age
#62,593
of 261,510 outputs
Outputs of similar age from BMC Psychiatry
#91
of 227 outputs
Altmetric has tracked 15,427,447 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 56% 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 261,510 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 227 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 59% of its contemporaries.