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Genome-wide association analysis of lifetime cannabis use (N=184,765) identifies new risk loci, genetic overlap with mental health, and a causal influence of schizophrenia on cannabis use

Overview of attention for article published in bioRxiv, January 2018
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307 X users
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Title
Genome-wide association analysis of lifetime cannabis use (N=184,765) identifies new risk loci, genetic overlap with mental health, and a causal influence of schizophrenia on cannabis use
Published in
bioRxiv, January 2018
DOI 10.1101/234294
Authors

Joëlle A. Pasman, Karin J.H. Verweij, Zachary Gerring, Sven Stringer, Sandra Sanchez-Roige, Jorien L. Treur, Abdel Abdellaoui, Michel G. Nivard, Bart M.L. Baselmans, Jue-Sheng Ong, Hill F. Ip, Matthijs D. van der Zee, Meike Bartels, Felix R. Day, Pierre Fontanillas, Sarah L. Elson, the 23andMe Research Team, Harriet de Wit, Lea K. Davis, James MacKillop, International Cannabis Consortium, Jaime L. Derringer, Susan J.T. Branje, Catharina A. Hartman, Andrew C. Heath, Pol A.C. van Lier, Pamela A.F. Madden, Reedik Mägi, Wim Meeus, Grant W. Montgomery, A.J. Oldehinkel, Zdenka Pausova, Josep A. Ramos-Quiroga, Tomas Paus, Marta Ribases, Jaakko Kaprio, Marco P.M. Boks, Jordana T. Bell, Tim D. Spector, Joel Gelernter, Dorret I. Boomsma, Nicholas G. Martin, Stuart MacGregor, John R.B. Perry, Abraham A. Palmer, Danielle Posthuma, Marcus R. Munafò, Nathan A. Gillespie, Eske M. Derks, Jacqueline M. Vink

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X Demographics

X Demographics

The data shown below were collected from the profiles of 307 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Ph. D. Student 12 24%
Student > Master 6 12%
Student > Bachelor 5 10%
Other 3 6%
Other 5 10%
Unknown 6 12%
Readers by discipline Count As %
Neuroscience 8 16%
Psychology 6 12%
Agricultural and Biological Sciences 5 10%
Biochemistry, Genetics and Molecular Biology 4 8%
Social Sciences 4 8%
Other 8 16%
Unknown 15 30%