Title |
CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer
|
---|---|
Published in |
Nature Genetics, January 2017
|
DOI | 10.1038/ng.3774 |
Pubmed ID | |
Authors |
Malachi Griffith, Nicholas C Spies, Kilannin Krysiak, Joshua F McMichael, Adam C Coffman, Arpad M Danos, Benjamin J Ainscough, Cody A Ramirez, Damian T Rieke, Lynzey Kujan, Erica K Barnell, Alex H Wagner, Zachary L Skidmore, Amber Wollam, Connor J Liu, Martin R Jones, Rachel L Bilski, Robert Lesurf, Yan-Yang Feng, Nakul M Shah, Melika Bonakdar, Lee Trani, Matthew Matlock, Avinash Ramu, Katie M Campbell, Gregory C Spies, Aaron P Graubert, Karthik Gangavarapu, James M Eldred, David E Larson, Jason R Walker, Benjamin M Good, Chunlei Wu, Andrew I Su, Rodrigo Dienstmann, Adam A Margolin, David Tamborero, Nuria Lopez-Bigas, Steven J M Jones, Ron Bose, David H Spencer, Lukas D Wartman, Richard K Wilson, Elaine R Mardis, Obi L Griffith |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 48 | 34% |
United Kingdom | 9 | 6% |
Canada | 7 | 5% |
France | 4 | 3% |
Italy | 4 | 3% |
Spain | 4 | 3% |
Germany | 3 | 2% |
Japan | 2 | 1% |
Switzerland | 2 | 1% |
Other | 8 | 6% |
Unknown | 51 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 72 | 51% |
Scientists | 64 | 45% |
Practitioners (doctors, other healthcare professionals) | 5 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 380 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 85 | 22% |
Student > Ph. D. Student | 57 | 15% |
Other | 36 | 9% |
Student > Master | 29 | 8% |
Student > Bachelor | 26 | 7% |
Other | 62 | 16% |
Unknown | 88 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 102 | 27% |
Agricultural and Biological Sciences | 60 | 16% |
Medicine and Dentistry | 49 | 13% |
Computer Science | 33 | 9% |
Immunology and Microbiology | 8 | 2% |
Other | 33 | 9% |
Unknown | 98 | 26% |