Title |
Evaluation of the quality of clinical data collection for a pan-Canadian cohort of children affected by inherited metabolic diseases: lessons learned from the Canadian Inherited Metabolic Diseases Research Network
|
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Published in |
Orphanet Journal of Rare Diseases, April 2020
|
DOI | 10.1186/s13023-020-01358-z |
Pubmed ID | |
Authors |
Kylie Tingley, Monica Lamoureux, Michael Pugliese, Michael T. Geraghty, Jonathan B. Kronick, Beth K. Potter, Doug Coyle, Kumanan Wilson, Michael Kowalski, Valerie Austin, Catherine Brunel-Guitton, Daniela Buhas, Alicia K. J. Chan, Sarah Dyack, Annette Feigenbaum, Alette Giezen, Sharan Goobie, Cheryl R. Greenberg, Shailly Jain Ghai, Michal Inbar-Feigenberg, Natalya Karp, Mariya Kozenko, Erica Langley, Matthew Lines, Julian Little, Jennifer MacKenzie, Bruno Maranda, Saadet Mercimek-Andrews, Connie Mohan, Aizeddin Mhanni, Grant Mitchell, John J. Mitchell, Laura Nagy, Melanie Napier, Amy Pender, Murray Potter, Chitra Prasad, Suzanne Ratko, Ramona Salvarinova, Andreas Schulze, Komudi Siriwardena, Neal Sondheimer, Rebecca Sparkes, Sylvia Stockler-Ipsiroglu, Yannis Trakadis, Lesley Turner, Clara Van Karnebeek, Hilary Vallance, Anthony Vandersteen, Jagdeep Walia, Ashley Wilson, Brenda J. Wilson, Andrea C. Yu, Nataliya Yuskiv, Pranesh Chakraborty |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 50% |
Colombia | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 9 | 15% |
Student > Ph. D. Student | 4 | 7% |
Other | 4 | 7% |
Student > Master | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Other | 13 | 22% |
Unknown | 22 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 19% |
Biochemistry, Genetics and Molecular Biology | 4 | 7% |
Business, Management and Accounting | 4 | 7% |
Social Sciences | 4 | 7% |
Computer Science | 2 | 3% |
Other | 9 | 15% |
Unknown | 25 | 42% |