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A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
BACKGROUND: Shortly after the emergence of COVID-19, researchers rapidly mobilized to study numerous aspects of the disease such as its evolution, clinical manifestations, effects, treatments, and vaccinations. This led to a rapid increase in the number of COVID-19–related publications. Identifying...
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| 出版年: | J Med Internet Res |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
JMIR Publications
2021
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7942394/ https://ncbi.nlm.nih.gov/pubmed/33600346 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/23703 |
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