Predictors of job burnout among Chinese nurses: a systematic review based on big data analysis
- DOI
- 10.1080/02648725.2023.2168910
- Published
- 2023-01-22
- Container
- Biotechnology and Genetic Engineering Reviews
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/02648725.2023.2168910,
title = {Predictors of job burnout among Chinese nurses: a systematic review based on big data analysis},
author = {Mengjie Xia and Junqiang Wang and Dongjun Bi and Caidi He and Huiping Mao and Xiaohong Liu and Lili Feng and Jing Luo and Fang Huang and Rusli Nordin and Zainooriah Dato’ Hj. Zakaria},
year = {2023},
journal = {Biotechnology and Genetic Engineering Reviews},
doi = {10.1080/02648725.2023.2168910},
url = {https://doi.org/10.1080/02648725.2023.2168910}
}RIS
TY - JOUR TI - Predictors of job burnout among Chinese nurses: a systematic review based on big data analysis AU - Mengjie Xia AU - Junqiang Wang AU - Dongjun Bi AU - Caidi He AU - Huiping Mao AU - Xiaohong Liu AU - Lili Feng AU - Jing Luo AU - Fang Huang AU - Rusli Nordin AU - Zainooriah Dato’ Hj. Zakaria PY - 2023 JO - Biotechnology and Genetic Engineering Reviews DO - 10.1080/02648725.2023.2168910 UR - https://doi.org/10.1080/02648725.2023.2168910 ER -
APA
Xia, M., Wang, J., Bi, D., He, C., Mao, H., Liu, X., Feng, L., Luo, J., Huang, F., Nordin, R., & Zakaria, Z. D. H. (2023). Predictors of job burnout among Chinese nurses: a systematic review based on big data analysis. Biotechnology and Genetic Engineering Reviews. https://doi.org/10.1080/02648725.2023.2168910
Source records
- crossref · retrieved 2026-09-27T11:02:41.110Z