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Cited by 971

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?

Open access
Long, Chunqin, Xu, Huaxiang, Shen, Qinglin, Zhang, Xianghai, Fan, Bing, Wang, Chuanhong, Zeng, Bingliang, Li, Zicong, Li, Xiaofen, Li, Honglu·2020·European Journal of Radiology

Abstract

Highlights • The COVID-19 outbreak highlights the need for early diagnosis, isolation and treatment• The sensitivity of the CT was 97.2%, while the sensitivity of initial rRT-PCR was 83.3%.• Patients with typical CT findings but negative rRT-PCR results should be isolated.

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Registry

Crossref · 10.1016/j.ejrad.2020.108961

Cites

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Metadata

Authors
Long, C., Xu, H., Shen, Q., Zhang, X., Fan, B., Wang, C., Zeng, B., Li, Z., Li, X., & Li, H.
Venue
European Journal of Radiology
Publisher
Elsevier BV
Published
2020-05
Volume
126
Pages
108961
ISSN
0720-048X (ISSN-L)
OpenAlex
W3012751338
Cited by
971
References
3
FWCI
27.07
Type
journal article
Language
en
Open access
bronze

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This page
CoChat. (2026). Citation check: Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT? https://app.cochat.ai/papers/10.1016/j.ejrad.2020.108961
The paper
Long, C., Xu, H., Shen, Q., Zhang, X., Fan, B., Wang, C., Zeng, B., Li, Z., Li, X., & Li, H. (2020). Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT? European Journal of Radiology. https://doi.org/10.1016/j.ejrad.2020.108961

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.