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Cited by 309

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Epidemiology and Classification of Mastitis

Open access
Cobirka, Maros, Tancin, Vladimir, Slama, Petr·2020·Animals
DOI 10.3390/ani10122212
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Abstract

Farmers should focus on milk quality over quantity because milk that contains unsuitable components and/or antibiotic residues, or has a high somatic cell count, cannot be used in food production and thereby results in reduced milk yield. One of the main problems affecting the ultimate milk yield of dairy cows is mastitis. This disease is the most serious economic and health problem associated with dairy cow herds and is a major reason for excessive culling. Therefore, many studies have addressed this problem to further our understanding of the agents causing mastitis and their classification and virulence factors. This review summarizes the current knowledge regarding mastitis prevalence, the characteristics of its main causative agents, and the effects of mastitis on dairy production. The review also intends to provide guidance for future studies by examining external effects influencing dairy production in cows under field conditions.

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Crossref · 10.3390/ani10122212

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Metadata

Authors
Cobirka, M., Tancin, V., & Slama, P.
Venue
Animals
Publisher
MDPI AG
Published
2020-11-26
Volume
10
Issue
12
Pages
2212
ISSN
2076-2615 (ISSN-L)
DOI
10.3390/ani10122212
OpenAlex
W3110563391
Cited by
309
References
69
FWCI
37.87
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Epidemiology and Classification of Mastitis. https://app.cochat.ai/papers/10.3390/ani10122212
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Cobirka, M., Tancin, V., & Slama, P. (2020). Epidemiology and Classification of Mastitis. Animals. https://doi.org/10.3390/ani10122212

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.