Title |
Developing an international network for Alzheimer’s research: the Dominantly Inherited Alzheimer Network
|
---|---|
Published in |
Clinical Investigation, October 2012
|
DOI | 10.4155/cli.12.93 |
Pubmed ID | |
Authors |
John C Morris, Paul S Aisen, Randall J Bateman, Tammie LS Benzinger, Nigel J Cairns, Anne M Fagan, Bernardino Ghetti, Alison M Goate, David M Holtzman, William E Klunk, Eric McDade, Daniel S Marcus, Ralph N Martins, Colin L Masters, Richard Mayeux, Angela Oliver, Kimberly Quaid, John M Ringman, Martin N Rossor, Stephen Salloway, Peter R Schofield, Natalie J Selsor, Reisa A Sperling, Michael W Weiner, Chengjie Xiong, Krista L Moulder, Virginia D Buckles |
Abstract |
The Dominantly Inherited Alzheimer Network (DIAN) is a collaborative effort of international Alzheimer disease (AD) centers that are conducting a multifaceted prospective biomarker study in individuals at-risk for autosomal dominant AD (ADAD). DIAN collects comprehensive information and tissue in accordance with standard protocols from asymptomatic and symptomatic ADAD mutation carriers and their non-carrier family members to determine the pathochronology of clinical, cognitive, neuroimaging, and fluid biomarkers of AD. This article describes the structure, implementation, and underlying principles of DIAN, as well as the demographic features of the initial DIAN cohort. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Australia | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 104 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 32 | 31% |
Student > Ph. D. Student | 21 | 20% |
Student > Bachelor | 8 | 8% |
Student > Master | 6 | 6% |
Student > Doctoral Student | 4 | 4% |
Other | 14 | 13% |
Unknown | 19 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 26 | 25% |
Neuroscience | 19 | 18% |
Agricultural and Biological Sciences | 9 | 9% |
Psychology | 6 | 6% |
Biochemistry, Genetics and Molecular Biology | 4 | 4% |
Other | 15 | 14% |
Unknown | 25 | 24% |