The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Review of antibiotic resistance in China and its environment
Open accessAbstract
Antibiotic resistance is a global health crisis linked to increased, and often unrestricted, antibiotic use in humans and animals. As one of the world's largest producers and consumers of antibiotics, China is witness to some of the most acute symptoms of this crisis. Antibiotics and antibiotic resistance genes (ARGs) are widely distributed in surface water, sewage treatment plant effluent, soils and animal wastes. The emergence and increased prevalence of ARGs in the clinic/hospitals, especially carbapenem-resistant gram negative bacteria, has raised the concern of public health officials. It is important to understand the current state of antibiotic use in China and its relationship to ARG prevalence and diversity in the environment. Here we review these relationships and their relevance to antimicrobial resistance (AMR) trends witnessed in the clinical setting. This review highlights the issues of enrichment and dissemination of ARGs in the environment, and also future needs in mitigating the spread of antibiotic resistance in the environment, particularly under the 'planetary health' perspective, i.e., the systems that sustain or threaten human health.
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.
Integrity signals
Registry
Cites
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.
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
Antibiotic resistance is ancient
D’Costa, V. M., King, C. E., Kalan, L., Morar, M., Sung, W. W. L., Schwarz, C., Froese, D., Zazula, G., Calmels, F., Debruyne, R., et al. (2011) · Nature · doi:10.1038/nature10388 · Cited by 2,720
The shared antibiotic resistome of soil bacteria and human pathogens
Forsberg, K. J., Reyes, A., Wang, B., Selleck, E. M., Sommer, M. O. A., & Dantas, G. (2012) · Science · doi:10.1126/science.1220761 · Cited by 1,650
Antibiotic resistance in the environment: a link to the clinic?
Wright, G. D. (2010) · Current Opinion in Microbiology · doi:10.1016/j.mib.2010.08.005 · Cited by 831
Cited by
Environmental antimicrobial resistance and its drivers: a potential threat to public health
Samreen, Ahmad, I., Malak, H. A., & Abulreesh, H. H. (2021) · Journal of Global Antimicrobial Resistance · doi:10.1016/j.jgar.2021.08.001 · Cited by 727
Utilizations of agricultural waste as adsorbent for the removal of contaminants: A review
Dai, Y., Sun, Q., Wang, W., Lu, L., Liu, M., Li, J., Yang, S., Sun, Y., Zhang, K., Xu, J., et al. (2018) · Chemosphere · doi:10.1016/j.chemosphere.2018.06.179 · Cited by 549
Distribution of antibiotic resistance genes in the environment
Zhuang, M., Achmon, Y., Cao, Y., Liang, X., Chen, L., Wang, H., Siame, B. A., & Leung, K. Y. (2021) · Environmental Pollution · doi:10.1016/j.envpol.2021.117402 · Cited by 422
Zhao, R., Feng, J., Liu, J., Fu, W., Li, X., & Li, B. (2019) · Water Research · doi:10.1016/j.watres.2018.12.034 · Cited by 383
Xiong, Q., Hu, L.-X., Liu, Y.-S., Zhao, J.-L., He, L.-Y., & Ying, G.-G. (2021) · Environment International · doi:10.1016/j.envint.2021.106594 · Cited by 280
Self-citation
Metadata
- Authors
- Qiao, M., Ying, G.-G., Singer, A. C., & Zhu, Y.-G.
- Venue
- Environment International
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 110
- Pages
- 160-172
- ISSN
- 0160-4120 (ISSN-L)
- OpenAlex
- W2766499163
- Cited by
- 1,494
- References
- 3
- FWCI
- 42.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Review of antibiotic resistance in China and its environment. https://app.cochat.ai/papers/10.1016/j.envint.2017.10.016
- The paper
- Qiao, M., Ying, G.-G., Singer, A. C., & Zhu, Y.-G. (2018). Review of antibiotic resistance in China and its environment. Environment International. https://doi.org/10.1016/j.envint.2017.10.016
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.
