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Research Output Details
Benn, DE and Zhu, Y and Andrews, KA and Wilding, M and Duncan, EL and Dwight, T and Tothill, RW and Burgess, J and Crook, A and Gill, AJ and Hicks, RJ and Kim, E and Luxford, C and Marfan, H and Richardson, AL and Robinson, B and Schlosberg, A and Susman, R and Tacon, L and Trainer, A and Tucker, K and Maher, ER and Field, M and Clifton-Bligh, RJ, “Bayesian approach to determining penetrance of pathogenic SDH variants”, Journal of Medical Genetics, 55 (11) pp. 729-734. ISSN 0022-2593 (2018) [Refereed Article] | |
Data Type | Value |
---|---|
Type of Research | Pure Basic Research |
Research Division | Biomedical and Clinical Sciences |
Research Group | Clinical sciences |
Research Field | Endocrinology |
Research Objective Division | Health |
Research Objective Group | Clinical health |
Research Objective Field | Clinical health not elsewhere classified |
Visit Item on eCite | http://ecite.utas.edu.au/128305 |
Digital Object Identifier | doi:10.1136/jmedgenet-2018-105427 |
Scopus Source URL | View the full record on Scopus |
Scopus Citing URL | View the list of citing articles on Scopus |
Web of Science® Source URL | View the full record on Web of Science® |
Web of Science® Citing URL | View the list of citing articles on Web of Science® |
Web of Science® Related URL | View the list of related articles on Web of Science® |
Number of Times Cited | 35 |
Number of Downloads | 79 |