Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Peiró, A. M., Carracedo, P., Agulló, L. & Bernardes, S. F. (2024). Gendered dimension of chronic pain patients with low and middle income: A text mining analysis. PLoS One. 19 (12)
Exportar Referência (IEEE) 
A. M. Peiró et al.,  "Gendered dimension of chronic pain patients with low and middle income: A text mining analysis", in PLoS One, vol. 19, no. 12, 2024
Exportar BibTeX 
@article{peiró2024_1736971173238,
	author = "Peiró, A. M. and Carracedo, P. and Agulló, L. and Bernardes, S. F.",
	title = "Gendered dimension of chronic pain patients with low and middle income: A text mining analysis",
	journal = "PLoS One",
	year = "2024",
	volume = "19",
	number = "12",
	doi = "10.1371/journal.pone.0311292",
	url = "https://journals.plos.org/plosone/"
}
Exportar RIS 
TY  - JOUR
TI  - Gendered dimension of chronic pain patients with low and middle income: A text mining analysis
T2  - PLoS One
VL  - 19
IS  - 12
AU  - Peiró, A. M.
AU  - Carracedo, P.
AU  - Agulló, L.
AU  - Bernardes, S. F.
PY  - 2024
SN  - 1932-6203
DO  - 10.1371/journal.pone.0311292
UR  - https://journals.plos.org/plosone/
AB  - Inferences about gender differences and socioeconomic status in Chronic Non-Cancer Pain (CNCP) management may shape health care. This can be a particularly relevant issue for women, who continue to more often assume reproductive gender roles. The objective of this study was to explore the gendered impact of CNCP on low-and middle-income women and men through text mining analysis.
ER  -