The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Genomic insights into the emergence and spread of antimicrobial-resistant bacterial pathogens
Open accessAbstract
Whole-genome sequencing (WGS) has been vital for revealing the rapid temporal and spatial evolution of antimicrobial resistance (AMR) in bacterial pathogens. Some antimicrobial-resistant pathogens have outpaced us, with untreatable infections appearing in hospitals and the community. However, WGS has additionally provided us with enough knowledge to initiate countermeasures. Although we cannot stop bacterial adaptation, the predictability of many evolutionary processes in AMR bacteria offers us an opportunity to channel them using new control strategies. Furthermore, by using WGS for coordinating surveillance and to create a more fundamental understanding of the outcome of antimicrobial treatment and AMR mechanisms, we can use current and future antimicrobials more effectively and aim to extend their longevity.
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Tackling the emerging threat of antifungal resistance to human health
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Antibiotic Resistance: One Health One World Outlook
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Emerging Antimicrobial-Resistant High-Risk Klebsiella pneumoniae Clones ST307 and ST147
Peirano, G., Chen, L., Kreiswirth, B. N., & Pitout, J. D. D. (2020) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01148-20 · Cited by 363
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Yang, N., Yang, X., Cheng, S., Gao, X., Sun, S., Huang, X., Ge, J., Han, Z., Huang, C., Wang, Y., et al. (2024) · Bioactive Materials · doi:10.1016/j.bioactmat.2024.05.010 · Cited by 38
Metadata
- Authors
- Baker, S., Thomson, N., Weill, F.-X., & Holt, K. E.
- Venue
- Science
- Published
- 2018-05-18
- Volume
- 360
- Issue
- 6390
- Pages
- 733-738
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2803637930
- Cited by
- 401
- References
- 41
- FWCI
- 12.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
