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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adolescent substance use behavior and suicidal behavior for boys and girls: a cross-sectional study by latent analysis approach
|
|---|---|
| Published in |
BMC Psychiatry, December 2017
|
| DOI | 10.1186/s12888-017-1546-1 |
| Pubmed ID | |
| Authors |
Peng-Wei Wang, Cheng-Fang Yen |
| Abstract |
Adolescent suicidal behavior may consist of different symptoms, including suicidal ideation, suicidal planning and suicidal attempts. Adolescent substance use behavior may contribute to adolescent suicidal behavior. However, research on the relationships between specific substance use and individual suicidal behavior is insufficient, as adolescents may not use only one substance or develop only one facet of suicidal behavior. Latent variables permit us to describe the relationships between clusters of related behaviors more accurately than studying the relationships between specific behaviors. Thus, the aim of this study was to explore how adolescent substance use behavior contributes to suicidal behavior using latent variables representing adolescent suicidal and substance use behaviors. A total of 13,985 adolescents were recruited using a stratified random sampling strategy. The participants indicated whether they had experienced suicidal ideation, planning and attempts and reported their cigarette, alcohol, ketamine and MDMA use during the past year. Latent analysis was used to examine the relationship between substance use and suicidal behavior. Adolescents who used any one of the above substances exhibited more suicidal behavior. The results of latent variables analysis revealed that adolescent substance use contributed to suicidal behavior and that boys exhibited more severe substance use behavior than girls. However, there was no gender difference in the association between substance use and suicidal behavior. Substance use behavior in adolescents is related to more suicidal behavior. In addition, the contribution of substance use to suicidal behavior does not differ between genders. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 83% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Student > Bachelor | 10 | 12% |
| Researcher | 7 | 8% |
| Student > Ph. D. Student | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 12 | 14% |
| Unknown | 34 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 12 | 14% |
| Medicine and Dentistry | 11 | 13% |
| Social Sciences | 8 | 9% |
| Arts and Humanities | 3 | 4% |
| Neuroscience | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 43 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 February 2018.
All research outputs
#13,071,205
of 23,577,654 outputs
Outputs from BMC Psychiatry
#2,733
of 4,897 outputs
Outputs of similar age
#199,725
of 442,481 outputs
Outputs of similar age from BMC Psychiatry
#42
of 77 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,897 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 442,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.