Title |
SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs)
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Published in |
Molecular Autism, October 2013
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DOI | 10.1186/2040-2392-4-36 |
Pubmed ID | |
Authors |
Brett S Abrahams, Dan E Arking, Daniel B Campbell, Heather C Mefford, Eric M Morrow, Lauren A Weiss, Idan Menashe, Tim Wadkins, Sharmila Banerjee-Basu, Alan Packer |
Abstract |
New technologies enabling genome-wide interrogation have led to a large and rapidly growing number of autism spectrum disorder (ASD) candidate genes. Although encouraging, the volume and complexity of these data make it challenging for scientists, particularly non-geneticists, to comprehensively evaluate available evidence for individual genes. Described here is the Gene Scoring module within SFARI Gene 2.0 (https://gene.sfari.org/autdb/GS_Home.do), a platform developed to enable systematic community driven assessment of genetic evidence for individual genes with regard to ASD. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 20% |
Spain | 1 | 10% |
Canada | 1 | 10% |
Switzerland | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 70% |
Scientists | 2 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 386 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 88 | 23% |
Researcher | 63 | 16% |
Student > Master | 39 | 10% |
Student > Bachelor | 38 | 10% |
Student > Postgraduate | 17 | 4% |
Other | 56 | 14% |
Unknown | 87 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 86 | 22% |
Agricultural and Biological Sciences | 70 | 18% |
Neuroscience | 50 | 13% |
Medicine and Dentistry | 25 | 6% |
Computer Science | 15 | 4% |
Other | 40 | 10% |
Unknown | 102 | 26% |