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Dove Medical Press

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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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7 X users
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2 Facebook pages

Citations

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37 Dimensions

Readers on

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107 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 A Lee, Seung-Hwan 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 107 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 104 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 15%
Student > Bachelor 14 13%
Researcher 12 11%
Student > Ph. D. Student 11 10%
Student > Doctoral Student 6 6%
Other 22 21%
Unknown 26 24%
Readers by discipline Count As %
Psychology 29 27%
Medicine and Dentistry 16 15%
Computer Science 6 6%
Nursing and Health Professions 5 5%
Neuroscience 3 3%
Other 16 15%
Unknown 32 30%
Attention Score in Context

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
#5,309,230
of 25,373,627 outputs
Outputs from Neuropsychiatric Disease and Treatment
#743
of 3,132 outputs
Outputs of similar age
#61,933
of 276,788 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#20
of 95 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 76% 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 276,788 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 77% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.