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Analysis of research hotspots in COVID-19 genomics based on citespace software: Bibliometric analysis
INTRODUCTION: To analyze the current state, hotspots, and cutting-edge trends of genomics research on the outbreak of Corona Virus Disease 2019 (COVID-19) from 2019 to the present (March 2022). METHODS: Statistical and visual analysis of COVID-19 genomics results published in the 2019-2022 Web of Sc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791043/ https://www.ncbi.nlm.nih.gov/pubmed/36579345 http://dx.doi.org/10.3389/fcimb.2022.1060031 |
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author | Pang, Xue meng Peng, Zhao yun Zheng, Xin Shi, Jing jing Zhou, Bao chen |
author_facet | Pang, Xue meng Peng, Zhao yun Zheng, Xin Shi, Jing jing Zhou, Bao chen |
author_sort | Pang, Xue meng |
collection | PubMed |
description | INTRODUCTION: To analyze the current state, hotspots, and cutting-edge trends of genomics research on the outbreak of Corona Virus Disease 2019 (COVID-19) from 2019 to the present (March 2022). METHODS: Statistical and visual analysis of COVID-19 genomics results published in the 2019-2022 Web of Science Core Collection Database (WOSCC) was performed using CiteSpace software, including data on countries, institutions, authors, journals, co-citations, keywords, etc. RESULTS: A total of 9133 English literature were included. The number of publications has significantly increased in 2021, and it is expected that this upward trend will last into the future. The research hotspots of COVID-19 revolve around quarantine, biological management, angiotensin-converting enzyme-2, RNA-dependent RNA polymerase, etc. Research frontiers and trends focus on molecular docking, messenger RNA, functional receptor, etc. CONCLUSION: The last two years have seen a significant increase in research interest in the field of novel coronavirus pneumonia genomics. |
format | Online Article Text |
id | pubmed-9791043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97910432022-12-27 Analysis of research hotspots in COVID-19 genomics based on citespace software: Bibliometric analysis Pang, Xue meng Peng, Zhao yun Zheng, Xin Shi, Jing jing Zhou, Bao chen Front Cell Infect Microbiol Cellular and Infection Microbiology INTRODUCTION: To analyze the current state, hotspots, and cutting-edge trends of genomics research on the outbreak of Corona Virus Disease 2019 (COVID-19) from 2019 to the present (March 2022). METHODS: Statistical and visual analysis of COVID-19 genomics results published in the 2019-2022 Web of Science Core Collection Database (WOSCC) was performed using CiteSpace software, including data on countries, institutions, authors, journals, co-citations, keywords, etc. RESULTS: A total of 9133 English literature were included. The number of publications has significantly increased in 2021, and it is expected that this upward trend will last into the future. The research hotspots of COVID-19 revolve around quarantine, biological management, angiotensin-converting enzyme-2, RNA-dependent RNA polymerase, etc. Research frontiers and trends focus on molecular docking, messenger RNA, functional receptor, etc. CONCLUSION: The last two years have seen a significant increase in research interest in the field of novel coronavirus pneumonia genomics. Frontiers Media S.A. 2022-12-12 /pmc/articles/PMC9791043/ /pubmed/36579345 http://dx.doi.org/10.3389/fcimb.2022.1060031 Text en Copyright © 2022 Pang, Peng, Zheng, Shi and Zhou https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Pang, Xue meng Peng, Zhao yun Zheng, Xin Shi, Jing jing Zhou, Bao chen Analysis of research hotspots in COVID-19 genomics based on citespace software: Bibliometric analysis |
title | Analysis of research hotspots in COVID-19 genomics based on citespace software: Bibliometric analysis |
title_full | Analysis of research hotspots in COVID-19 genomics based on citespace software: Bibliometric analysis |
title_fullStr | Analysis of research hotspots in COVID-19 genomics based on citespace software: Bibliometric analysis |
title_full_unstemmed | Analysis of research hotspots in COVID-19 genomics based on citespace software: Bibliometric analysis |
title_short | Analysis of research hotspots in COVID-19 genomics based on citespace software: Bibliometric analysis |
title_sort | analysis of research hotspots in covid-19 genomics based on citespace software: bibliometric analysis |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791043/ https://www.ncbi.nlm.nih.gov/pubmed/36579345 http://dx.doi.org/10.3389/fcimb.2022.1060031 |
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