Cite
Identification of genomic predictors of atrioventricular conduction: using electronic medical records as a tool for genome science.
MLA
Denny JC, et al. “Identification of Genomic Predictors of Atrioventricular Conduction: Using Electronic Medical Records as a Tool for Genome Science.” Circulation, vol. 122, no. 20, Nov. 2010, pp. 2016–21. EBSCOhost, https://doi.org/10.1161/CIRCULATIONAHA.110.948828.
APA
Denny JC, Ritchie MD, Crawford DC, Schildcrout JS, Ramirez AH, Pulley JM, Basford MA, Masys DR, Haines JL, Roden DM, Denny, J. C., Ritchie, M. D., Crawford, D. C., Schildcrout, J. S., Ramirez, A. H., Pulley, J. M., Basford, M. A., Masys, D. R., Haines, J. L., & Roden, D. M. (2010). Identification of genomic predictors of atrioventricular conduction: using electronic medical records as a tool for genome science. Circulation, 122(20), 2016–2021. https://doi.org/10.1161/CIRCULATIONAHA.110.948828
Chicago
Denny JC, Ritchie MD, Crawford DC, Schildcrout JS, Ramirez AH, Pulley JM, Basford MA, et al. 2010. “Identification of Genomic Predictors of Atrioventricular Conduction: Using Electronic Medical Records as a Tool for Genome Science.” Circulation 122 (20): 2016–21. doi:10.1161/CIRCULATIONAHA.110.948828.