American Psychological Association 6th edition

Sawsan Feki, Mariem Damak, Yesmine Ben Ali, Salma Sakka, Saba Gargouri, Sabrina Mejdoub, Hend Hachicha, Hela Karray, Chokri Mhiri, & Hatem Masmoudi. (2023). A sequential algorithm for CSF-testing using new and conventional B cell-related markers for the diagnosis of multiple sclerosis. Journal of the Neurological Sciences, 455, 121868-121868. https://doi.org/10.1016/j.jns.2023.121868

ISO-690 (author-date, English)

SAWSAN FEKI, MARIEM DAMAK, YESMINE BEN ALI, SALMA SAKKA, SABA GARGOURI, SABRINA MEJDOUB, HEND HACHICHA, HELA KARRAY, CHOKRI MHIRI und HATEM MASMOUDI, 2023. A sequential algorithm for CSF-testing using new and conventional B cell-related markers for the diagnosis of multiple sclerosis. Journal of the Neurological Sciences. 1 Dezember 2023. Vol. 455, , p. 121868-121868. DOI 10.1016/j.jns.2023.121868.

Modern Language Association 9th edition

Sawsan Feki, Mariem Damak, Yesmine Ben Ali, Salma Sakka, Saba Gargouri, Sabrina Mejdoub, Hend Hachicha, Hela Karray, Chokri Mhiri, und Hatem Masmoudi. „A Sequential Algorithm for CSF-Testing Using New and Conventional B Cell-Related Markers for the Diagnosis of Multiple Sclerosis“. Journal of the Neurological Sciences, Bd. 455, Dezember 2023, S. 121868-, https://doi.org/10.1016/j.jns.2023.121868.

Mohr Siebeck - Recht (Deutsch - Österreich)

Sawsan Feki/Mariem Damak/Yesmine Ben Ali/Salma Sakka/Saba Gargouri/Sabrina Mejdoub u. a.: A sequential algorithm for CSF-testing using new and conventional B cell-related markers for the diagnosis of multiple sclerosis, Journal of the Neurological Sciences 2023, 121868-121868.

Emerald - Harvard

Sawsan Feki, Mariem Damak, Yesmine Ben Ali, Salma Sakka, Saba Gargouri, Sabrina Mejdoub, Hend Hachicha, Hela Karray, Chokri Mhiri und Hatem Masmoudi. (2023), „A sequential algorithm for CSF-testing using new and conventional B cell-related markers for the diagnosis of multiple sclerosis“, Journal of the Neurological Sciences, Vol. 455, S. 121868-121868.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.