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Prediction by data mining, of suicide attempts in Korean adolescents: a national study

Overview of attention for article published in Neuropsychiatric Disease and Treatment, September 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
7 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
93 Mendeley
Title
Prediction by data mining, of suicide attempts in Korean adolescents: a national study
Published in
Neuropsychiatric Disease and Treatment, September 2015
DOI 10.2147/ndt.s91111
Pubmed ID
Authors

Sung-Man Bae, Seung-Hwan Lee, Seung A Lee

Abstract

This study aimed to develop a prediction model for suicide attempts in Korean adolescents. We conducted a decision tree analysis of 2,754 middle and high school students nationwide. We fixed suicide attempt as the dependent variable and eleven sociodemographic, intrapersonal, and extrapersonal variables as independent variables. The rate of suicide attempts of the total sample was 9.5%, and severity of depression was the strongest variable to predict suicide attempt. The rates of suicide attempts in the depression and potential depression groups were 5.4 and 2.8 times higher than that of the non-depression group. In the depression group, the most powerful factor to predict a suicide attempt was delinquency, and the rate of suicide attempts in those in the depression group with higher delinquency was two times higher than in those in the depression group with lower delinquency. Of special note, the rate of suicide attempts in the depressed females with higher delinquency was the highest. Interestingly, in the potential depression group, the most impactful factor to predict a suicide attempt was intimacy with family, and the rate of suicide attempts of those in the potential depression group with lower intimacy with family was 2.4 times higher than that of those in the potential depression group with higher intimacy with family. And, among the potential depression group, middle school students with lower intimacy with family had a 2.5-times higher rate of suicide attempts than high school students with lower intimacy with family. Finally, in the non-depression group, stress level was the most powerful factor to predict a suicide attempt. Among the non-depression group, students who reported high levels of stress showed an 8.3-times higher rate of suicide attempts than students who reported average levels of stress. Based on the results, we especially need to pay attention to depressed females with higher delinquency and those with potential depression with lower intimacy with family to prevent suicide attempts in teenagers.

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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 2 2%
Australia 1 1%
Unknown 90 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 18%
Researcher 12 13%
Student > Bachelor 12 13%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 6 6%
Other 20 22%
Unknown 17 18%
Readers by discipline Count As %
Psychology 24 26%
Medicine and Dentistry 16 17%
Computer Science 6 6%
Nursing and Health Professions 4 4%
Engineering 4 4%
Other 15 16%
Unknown 24 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 September 2015.
All research outputs
#2,683,888
of 14,535,828 outputs
Outputs from Neuropsychiatric Disease and Treatment
#403
of 2,442 outputs
Outputs of similar age
#51,452
of 247,194 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#19
of 102 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 83% 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 247,194 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 79% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.