Bibliometric analysis of COVID-19 related research
Objective To investigate the latest developments and research trends in the research field of Corona Virus Disease 2019 (COVID-19).Methods The COVID-19-related literatures were retrieved from the Web of Science database since December 1, 2019 to November 15, 2020 and CiteSpace software was used to v...
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| Format: | Article |
| Language: | zho |
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Editorial Office of New Medicine
2021-02-01
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| Series: | Yixue xinzhi zazhi |
| Subjects: | |
| Online Access: | https://yxxz.whuznhmedj.com/storage/attach/2102/oYEmSvoLUZntfwGr0LVFjdjhYGzdTiqG53mSzdxY.pdf |
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| _version_ | 1850040819374882816 |
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| author | Chun-Lin YAO Yan SUN Rui CHEN Shu-Jun SUN Yun LIN |
| author_facet | Chun-Lin YAO Yan SUN Rui CHEN Shu-Jun SUN Yun LIN |
| author_sort | Chun-Lin YAO |
| collection | DOAJ |
| description | Objective To investigate the latest developments and research trends in the research field of Corona Virus Disease 2019 (COVID-19).Methods The COVID-19-related literatures were retrieved from the Web of Science database since December 1, 2019 to November 15, 2020 and CiteSpace software was used to visualize the data.Results As of November 15, 2020, more than 58,000 COVID-19 related articles have been retrieved. The Lancet is the magazine that publishes the most COVID-19 articles; the United States is the country that publishes the most COVID-19 articles, followed by China. As far as the author is concerned, Zhang WEI is the author who has published the most COVID-19 articles, with 45 articles published so far, and the author with the highest citation rate is Huang CL. A total of 15 clusters were formed by co-citation analysis of documents. Cluster #0 Hydroxychloroquine is the largest cluster.Conclusion The United States and China are the main research contributors in the field of COVID-19. The clinical manifestations, infection mechanism and clinical diagnosis of COVID-19 are the main research areas, while the patient prognosis are research trends. |
| format | Article |
| id | doaj-art-a38a41ca473b4118bae3a0de9ca02ada |
| institution | DOAJ |
| issn | 1004-5511 |
| language | zho |
| publishDate | 2021-02-01 |
| publisher | Editorial Office of New Medicine |
| record_format | Article |
| series | Yixue xinzhi zazhi |
| spelling | doaj-art-a38a41ca473b4118bae3a0de9ca02ada2025-08-20T02:55:57ZzhoEditorial Office of New MedicineYixue xinzhi zazhi1004-55112021-02-01311142210.12173/j.issn.1004-5511.2021.01.036216Bibliometric analysis of COVID-19 related researchChun-Lin YAOYan SUNRui CHENShu-Jun SUNYun LINObjective To investigate the latest developments and research trends in the research field of Corona Virus Disease 2019 (COVID-19).Methods The COVID-19-related literatures were retrieved from the Web of Science database since December 1, 2019 to November 15, 2020 and CiteSpace software was used to visualize the data.Results As of November 15, 2020, more than 58,000 COVID-19 related articles have been retrieved. The Lancet is the magazine that publishes the most COVID-19 articles; the United States is the country that publishes the most COVID-19 articles, followed by China. As far as the author is concerned, Zhang WEI is the author who has published the most COVID-19 articles, with 45 articles published so far, and the author with the highest citation rate is Huang CL. A total of 15 clusters were formed by co-citation analysis of documents. Cluster #0 Hydroxychloroquine is the largest cluster.Conclusion The United States and China are the main research contributors in the field of COVID-19. The clinical manifestations, infection mechanism and clinical diagnosis of COVID-19 are the main research areas, while the patient prognosis are research trends.https://yxxz.whuznhmedj.com/storage/attach/2102/oYEmSvoLUZntfwGr0LVFjdjhYGzdTiqG53mSzdxY.pdfcovid-19 sars-cov-2 citespace visual analysis |
| spellingShingle | Chun-Lin YAO Yan SUN Rui CHEN Shu-Jun SUN Yun LIN Bibliometric analysis of COVID-19 related research Yixue xinzhi zazhi covid-19 sars-cov-2 citespace visual analysis |
| title | Bibliometric analysis of COVID-19 related research |
| title_full | Bibliometric analysis of COVID-19 related research |
| title_fullStr | Bibliometric analysis of COVID-19 related research |
| title_full_unstemmed | Bibliometric analysis of COVID-19 related research |
| title_short | Bibliometric analysis of COVID-19 related research |
| title_sort | bibliometric analysis of covid 19 related research |
| topic | covid-19 sars-cov-2 citespace visual analysis |
| url | https://yxxz.whuznhmedj.com/storage/attach/2102/oYEmSvoLUZntfwGr0LVFjdjhYGzdTiqG53mSzdxY.pdf |
| work_keys_str_mv | AT chunlinyao bibliometricanalysisofcovid19relatedresearch AT yansun bibliometricanalysisofcovid19relatedresearch AT ruichen bibliometricanalysisofcovid19relatedresearch AT shujunsun bibliometricanalysisofcovid19relatedresearch AT yunlin bibliometricanalysisofcovid19relatedresearch |