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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
The Gut Microbiota of the Egyptian Mongoose as an Early Warning Indicator of Ecosystem Health in Portugal

Participants in the publication
Mónica V. Cunha (Author)
Dep. Biologia Vegetal
 cE3c
 BioISI
 Teresa Albuquerque (Author)
Patrícia Themudo (Author)
Carlos Fonseca (Author)
Victor Bandeira (Author)
Luís M. Rosalino (Author)
cE3c/FCUL
 Dep. Biologia Animal
Date of Publication
2020-04-29

Where published
International Journal of Environmental Research and Public Health

Publication Identifiers
ISSN - 1660-4601

Publisher
MDPI AG

Volume
17
Number
9

Starting page
3104

Document Identifiers
DOI - https://doi.org/10.3390/ijerph17093104
URL - http://dx.doi.org/10.3390/ijerph17093104

Rankings
SCOPUS Q3 (2019) - 3 - Health, Toxicology and Mutagenesis
SCIMAGO Q2 (2019) - 0.739 - Health, Toxicology and Mutagenesis (Q2)
Web Of Science Q1 (2018) - 2.468 - PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH - SSCI


Export

APA
Mónica V. Cunha, Teresa Albuquerque, Patrícia Themudo, Carlos Fonseca, Victor Bandeira, Luís M. Rosalino, (2020). The Gut Microbiota of the Egyptian Mongoose as an Early Warning Indicator of Ecosystem Health in Portugal. International Journal of Environmental Research and Public Health, 17, ISSN 1660-4601. eISSN . http://dx.doi.org/10.3390/ijerph17093104

IEEE
Mónica V. Cunha, Teresa Albuquerque, Patrícia Themudo, Carlos Fonseca, Victor Bandeira, Luís M. Rosalino, "The Gut Microbiota of the Egyptian Mongoose as an Early Warning Indicator of Ecosystem Health in Portugal" in International Journal of Environmental Research and Public Health, vol. 17, 2020. 10.3390/ijerph17093104

BIBTEX
@article{44732, author = {Mónica V. Cunha and Teresa Albuquerque and Patrícia Themudo and Carlos Fonseca and Victor Bandeira and Luís M. Rosalino}, title = {The Gut Microbiota of the Egyptian Mongoose as an Early Warning Indicator of Ecosystem Health in Portugal}, journal = {International Journal of Environmental Research and Public Health}, year = 2020, volume = 17 }