The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The increasing threat of Pseudomonas aeruginosa high-risk clones
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In the citing paper
“Notable sequence types (STs), classified based on multilocus sequence typing138, include widespread clones such as clone C (ST17) and PA14 (ST253), alongside epidemic clones associated with cystic fibrosis, such as the Liverpool Epidemic Strain (LES, ST146)139–143.”
From Pseudomonas aeruginosa: ecology, evolution, pathogenesis and antimicrobial susceptibility (2025) · cites this paper as [140]
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Citations
Cites
Magiorakos, A.-P., Srinivasan, A., Carey, R. B., Carmeli, Y., Falagas, M. E., Giske, C. G., Harbarth, S., Hindler, J. F., Kahlmeter, G., Olsson-Liljequist, B., et al. (2012) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2011.03570.x · Cited by 14,449
Smith, J. M., Smith, N. H., O'Rourke, M., & Spratt, B. G. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.10.4384 · Cited by 1,802
Pseudomonas aeruginosa : new insights into pathogenesis and host defenses
Gellatly, S. L., & Hancock, R. E. W. (2013) · Pathogens and Disease · doi:10.1111/2049-632x.12033 · Cited by 1,295
Population Structure of Clinical Pseudomonas aeruginosa from West and Central African Countries
Cholley, P., Ka, R., Guyeux, C., Thouverez, M., Guessennd, N., Ghebremedhin, B., Frank, T., Bertrand, X., & Hocquet, D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0107008 · Cited by 31
Cited by
Pseudomonas aeruginosa Lifestyle: A Paradigm for Adaptation, Survival, and Persistence
Moradali, M. F., Ghods, S., & Rehm, B. H. A. (2017) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2017.00039 · Cited by 1,537
Horcajada, J. P., Montero, M., Oliver, A., Sorlí, L., Luque, S., Gómez-Zorrilla, S., Benito, N., & Grau, S. (2019) · Clinical Microbiology Reviews · doi:10.1128/cmr.00031-19 · Cited by 961
Self-citationEllington, M. J., Ekelund, O., Aarestrup, F. M., Canton, R., Doumith, M., Giske, C., Grundman, H., Hasman, H., Holden, M. T. G., Hopkins, K. L., et al. (2017) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2016.11.012 · Cited by 603
Key takeaways from the U.S. CDC’s 2019 antibiotic resistance threats report for frontline providers
Kadri, S. S. (2020) · Critical Care Medicine · doi:10.1097/ccm.0000000000004371 · Cited by 292
Epidemiology, Biology, and Impact of Clonal Pseudomonas aeruginosa Infections in Cystic Fibrosis
Parkins, M. D., Somayaji, R., & Waters, V. J. (2018) · Clinical Microbiology Reviews · doi:10.1128/cmr.00019-18 · Cited by 253
Metadata
- Authors
- Oliver, A., Mulet, X., López-Causapé, C., & Juan, C.
- Venue
- Drug Resistance Updates
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 21-22
- Pages
- 41-59
- ISSN
- 1368-7646 (ISSN-L)
- OpenAlex
- W2119209016
- Cited by
- 644
- References
- 4
- FWCI
- 18.28
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The increasing threat of Pseudomonas aeruginosa high-risk clones. https://app.cochat.ai/papers/10.1016/j.drup.2015.08.002
- The paper
- Oliver, A., Mulet, X., López-Causapé, C., & Juan, C. (2015). The increasing threat of Pseudomonas aeruginosa high-risk clones. Drug Resistance Updates. https://doi.org/10.1016/j.drup.2015.08.002
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.
