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Contrasting models of genetic co-morbidity for cannabis and other illicit drugs in adult Australian twins

Overview of attention for article published in Psychological Medicine, November 2006
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Title
Contrasting models of genetic co-morbidity for cannabis and other illicit drugs in adult Australian twins
Published in
Psychological Medicine, November 2006
DOI 10.1017/s0033291706009287
Pubmed ID
Authors

A. AGRAWAL, M. T. LYNSKEY, K. K. BUCHOLZ, N. G. MARTIN, P. A. F. MADDEN, A. C. HEATH

Abstract

The use of cannabis and other illicit drugs (OIDs) and their co-morbid misuse are frequently reported in the literature. Correlated vulnerabilities and causal or gateway influences have been implicated in this association. We investigated the source of this co-morbidity between cannabis use (experimentation, early and repeated use, and problems) and OID experimentation and problems using genetic models proposed by Neale and Kendler (American Journal of Human Genetics 1995, 57, 935-953).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Researcher 5 14%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Student > Doctoral Student 3 8%
Other 3 8%
Unknown 9 25%
Readers by discipline Count As %
Psychology 7 19%
Medicine and Dentistry 4 11%
Neuroscience 3 8%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 7 19%
Unknown 11 31%
Attention Score in Context

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 22 November 2023.
All research outputs
#8,306,054
of 24,849,927 outputs
Outputs from Psychological Medicine
#2,988
of 5,365 outputs
Outputs of similar age
#28,955
of 83,726 outputs
Outputs of similar age from Psychological Medicine
#16
of 28 outputs
Altmetric has tracked 24,849,927 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,365 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one is in the 31st percentile – i.e., 31% 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 83,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.