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Modifiable risk factors predicting major depressive disorder at four year follow-up: a decision tree approach

Overview of attention for article published in BMC Psychiatry, November 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
100 Mendeley
citeulike
1 CiteULike
Title
Modifiable risk factors predicting major depressive disorder at four year follow-up: a decision tree approach
Published in
BMC Psychiatry, November 2009
DOI 10.1186/1471-244x-9-75
Pubmed ID
Authors

Philip J Batterham, Helen Christensen, Andrew J Mackinnon

Abstract

Relative to physical health conditions such as cardiovascular disease, little is known about risk factors that predict the prevalence of depression. The present study investigates the expected effects of a reduction of these risks over time, using the decision tree method favoured in assessing cardiovascular disease risk.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 2 2%
Italy 1 1%
Greece 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 17%
Student > Ph. D. Student 10 10%
Student > Postgraduate 10 10%
Student > Bachelor 10 10%
Student > Master 10 10%
Other 21 21%
Unknown 22 22%
Readers by discipline Count As %
Medicine and Dentistry 27 27%
Psychology 22 22%
Engineering 5 5%
Social Sciences 5 5%
Computer Science 5 5%
Other 12 12%
Unknown 24 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 March 2012.
All research outputs
#3,601,832
of 22,663,969 outputs
Outputs from BMC Psychiatry
#1,268
of 4,633 outputs
Outputs of similar age
#20,461
of 165,238 outputs
Outputs of similar age from BMC Psychiatry
#4
of 10 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,633 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 72% 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 165,238 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 87% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.