The algorithm used for the interpretation of doravirine transmitted drug resistance strongly influences clinical practice and guideline recommendations.

MLA

Guerrero-Beltrán, Carlos, et al. “The Algorithm Used for the Interpretation of Doravirine Transmitted Drug Resistance Strongly Influences Clinical Practice and Guideline Recommendations.” Journal of Antimicrobial Chemotherapy (JAC), vol. 75, no. 5, May 2020, pp. 1294–300. EBSCOhost, https://doi.org/10.1093/jac/dkaa009.

APA

Guerrero-Beltrán, C., Martínez-Sanz, J., Álvarez, M., Olalla, J., García-Álvarez, M., Iribarren, J. A., Masiá, M., Montero, M., García-Bujalance, S., Blanco, J. R., Rivero, M., García-Fraile, L. J., Espinosa, N., Rodríguez, C., Aguilera, A., Vidal-Ampurdanes, M. C., Martínez, M., Iborra, A., Imaz, A., & Gómez-Sirvent, J. L. (2020). The algorithm used for the interpretation of doravirine transmitted drug resistance strongly influences clinical practice and guideline recommendations. Journal of Antimicrobial Chemotherapy (JAC), 75(5), 1294–1300. https://doi.org/10.1093/jac/dkaa009

Chicago

Guerrero-Beltrán, Carlos, Javier Martínez-Sanz, Marta Álvarez, Julián Olalla, Mónica García-Álvarez, Jose Antonio Iribarren, Mar Masiá, et al. 2020. “The Algorithm Used for the Interpretation of Doravirine Transmitted Drug Resistance Strongly Influences Clinical Practice and Guideline Recommendations.” Journal of Antimicrobial Chemotherapy (JAC) 75 (5): 1294–1300. doi:10.1093/jac/dkaa009.