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Cross-national epidemiology of DSM-IV major depressive episode

Overview of attention for article published in BMC Medicine, July 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
4 news outlets
blogs
4 blogs
twitter
34 tweeters
patent
1 patent
facebook
6 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
733 Dimensions

Readers on

mendeley
915 Mendeley
citeulike
3 CiteULike
Title
Cross-national epidemiology of DSM-IV major depressive episode
Published in
BMC Medicine, July 2011
DOI 10.1186/1741-7015-9-90
Pubmed ID
Authors

Evelyn Bromet, Laura Helena Andrade, Irving Hwang, Nancy A Sampson, Jordi Alonso, Giovanni de Girolamo, Ron de Graaf, Koen Demyttenaere, Chiyi Hu, Noboru Iwata, Aimee N Karam, Jagdish Kaur, Stanislav Kostyuchenko, Jean-Pierre Lépine, Daphna Levinson, Herbert Matschinger, Maria Elena Medina Mora, Mark Oakley Browne, Jose Posada-Villa, Maria Carmen Viana, David R Williams, Ronald C Kessler

Abstract

Major depression is one of the leading causes of disability worldwide, yet epidemiologic data are not available for many countries, particularly low- to middle-income countries. In this paper, we present data on the prevalence, impairment and demographic correlates of depression from 18 high and low- to middle-income countries in the World Mental Health Survey Initiative.

Twitter Demographics

The data shown below were collected from the profiles of 34 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 915 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 <1%
Brazil 9 <1%
United Kingdom 6 <1%
Spain 5 <1%
Canada 3 <1%
France 2 <1%
Germany 1 <1%
Korea, Republic of 1 <1%
Sweden 1 <1%
Other 11 1%
Unknown 867 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 162 18%
Student > Bachelor 161 18%
Student > Ph. D. Student 153 17%
Researcher 119 13%
Student > Doctoral Student 69 8%
Other 251 27%
Readers by discipline Count As %
Medicine and Dentistry 254 28%
Psychology 226 25%
Unspecified 122 13%
Agricultural and Biological Sciences 91 10%
Neuroscience 49 5%
Other 173 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 93. 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 October 2018.
All research outputs
#174,870
of 13,511,647 outputs
Outputs from BMC Medicine
#156
of 2,142 outputs
Outputs of similar age
#770
of 85,565 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 13,511,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,142 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.0. This one has done particularly well, scoring higher than 92% 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 85,565 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them