Title |
Differential Effects of Parental Controls on Adolescent Substance Use: For Whom is the Family Most Important?
|
---|---|
Published in |
Journal of Quantitative Criminology, September 2012
|
DOI | 10.1007/s10940-012-9183-9 |
Pubmed ID | |
Authors |
Abigail A. Fagan, M. Lee Van Horn, J. David Hawkins, Thomas Jaki |
Abstract |
Social control theory assumes that the ability of social constraints to deter juvenile delinquency will be invariant across individuals. This paper tests this hypothesis and examines the degree to which there are differential effects of parental controls on adolescent substance use. |
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 Kingdom | 5 | 83% |
United States | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 2% |
United Kingdom | 1 | <1% |
Unknown | 111 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 19% |
Student > Doctoral Student | 17 | 15% |
Student > Master | 14 | 12% |
Student > Bachelor | 6 | 5% |
Researcher | 6 | 5% |
Other | 17 | 15% |
Unknown | 32 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 32 | 28% |
Psychology | 32 | 28% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Medicine and Dentistry | 3 | 3% |
Nursing and Health Professions | 2 | 2% |
Other | 8 | 7% |
Unknown | 34 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 October 2014.
All research outputs
#6,841,033
of 22,768,097 outputs
Outputs from Journal of Quantitative Criminology
#258
of 529 outputs
Outputs of similar age
#50,018
of 169,184 outputs
Outputs of similar age from Journal of Quantitative Criminology
#3
of 5 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 51% 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 169,184 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 70% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.