↓ Skip to main content

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
Altmetric Badge

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)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 3 4%
Italy 1 1%
Greece 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Ph. D. Student 10 15%
Student > Bachelor 8 12%
Student > Master 7 10%
Student > Postgraduate 6 9%
Other 15 22%
Unknown 5 7%
Readers by discipline Count As %
Medicine and Dentistry 22 32%
Psychology 17 25%
Computer Science 5 7%
Engineering 4 6%
Social Sciences 4 6%
Other 7 10%
Unknown 9 13%

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
#1,460,116
of 12,409,853 outputs
Outputs from BMC Psychiatry
#651
of 2,890 outputs
Outputs of similar age
#13,471
of 115,876 outputs
Outputs of similar age from BMC Psychiatry
#6
of 23 outputs
Altmetric has tracked 12,409,853 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,890 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 77% 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 115,876 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 23 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 73% of its contemporaries.