Vagenes, H. (2022). Analysis of the quality, accuracy and readability of patient information on polycystic ovarian syndrome (PCOS) on the internet available in English (Master's thesis). Split: University of Split, School of Medicine. Retrieved from https://urn.nsk.hr/urn:nbn:hr:171:488218
Vagenes, Helene. "Analysis of the quality, accuracy and readability of patient information on polycystic ovarian syndrome (PCOS) on the internet available in English." Master's thesis, University of Split, School of Medicine, 2022. https://urn.nsk.hr/urn:nbn:hr:171:488218
Vagenes, Helene. "Analysis of the quality, accuracy and readability of patient information on polycystic ovarian syndrome (PCOS) on the internet available in English." Master's thesis, University of Split, School of Medicine, 2022. https://urn.nsk.hr/urn:nbn:hr:171:488218
Vagenes, H. (2022). 'Analysis of the quality, accuracy and readability of patient information on polycystic ovarian syndrome (PCOS) on the internet available in English', Master's thesis, University of Split, School of Medicine, accessed 27 November 2023, https://urn.nsk.hr/urn:nbn:hr:171:488218
Vagenes H. Analysis of the quality, accuracy and readability of patient information on polycystic ovarian syndrome (PCOS) on the internet available in English [Master's thesis]. Split: University of Split, School of Medicine; 2022 [cited 2023 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:171:488218
H. Vagenes, "Analysis of the quality, accuracy and readability of patient information on polycystic ovarian syndrome (PCOS) on the internet available in English", Master's thesis, University of Split, School of Medicine, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:171:488218