Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 168

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Clinical Perspective of Antimicrobial Resistance in Bacteria

Open access
Zhu, Ying, Huang, Wei E, Yang, Qiwen·2022·Infection and Drug Resistance

Abstract

Abstract: Antimicrobial resistance (AMR) has become a global clinical problem in recent years. With the discovery of antibiotics, infections were not a deadly problem for clinicians as they used to be. However, worldwide AMR comes with the overuse/misuse of antibiotics and the spread of resistance is deteriorated by a multitude of mobile genetic elements and relevant resistant genes. This review provides an overview of the current situation, mechanism, epidemiology, detection methods and clinical treatment for antimicrobial resistant genes in clinical important bacteria including methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant Enterococcus (VRE), penicillin-resistant Streptococcus pneumoniae (PRSP), extended-spectrum β-lactamase-producing Enterobacteriaceae , acquired AmpC β-lactamase-producing Enterobacteriaceae , carbapenemase-producing Enterobacteriaceae (CPE), multidrug-resistant (MDR) Acinetobacter baumannii and Pseudomonas aeruginosa. Keywords: antimicrobial resistant, genes, antibiotic resistance mechanisms, epidemiology, detection methods

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2147/idr.s345574

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 6 references

Metadata

Authors
Zhu, Y., Huang, W. E., & Yang, Q.
Venue
Infection and Drug Resistance
Published
2022-03
Volume
Volume 15
Pages
735-746
ISSN
1178-6973 (ISSN-L)
OpenAlex
W4214512542
Cited by
168
References
6
FWCI
9.83
Type
journal article
Language
en
Open access
gold

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Clinical Perspective of Antimicrobial Resistance in Bacteria. https://app.cochat.ai/papers/10.2147/idr.s345574
The paper
Zhu, Y., Huang, W. E., & Yang, Q. (2022). Clinical Perspective of Antimicrobial Resistance in Bacteria. Infection and Drug Resistance. https://doi.org/10.2147/idr.s345574

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.