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Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis
BACKGROUND: As single-cell sequencing technology has been gradually introduced, it is essential to characterize global collaboration networks and map development trends over the past 20 years. OBJECTIVE: The aim of this paper was to illustrate collaboration in the field of single-cell sequencing met...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386406/ https://www.ncbi.nlm.nih.gov/pubmed/34014832 http://dx.doi.org/10.2196/25789 |
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author | Wang, Quan Yang, Ke-Lu Zhang, Zhen Wang, Zhu Li, Chen Li, Lun Tian, Jin-Hui Ye, Ying-Jiang Wang, Shan Jiang, Ke-Wei |
author_facet | Wang, Quan Yang, Ke-Lu Zhang, Zhen Wang, Zhu Li, Chen Li, Lun Tian, Jin-Hui Ye, Ying-Jiang Wang, Shan Jiang, Ke-Wei |
author_sort | Wang, Quan |
collection | PubMed |
description | BACKGROUND: As single-cell sequencing technology has been gradually introduced, it is essential to characterize global collaboration networks and map development trends over the past 20 years. OBJECTIVE: The aim of this paper was to illustrate collaboration in the field of single-cell sequencing methods and explore key topics and future directions. METHODS: Bibliometric analyses were conducted with CiteSpace and VOSviewer software on publications prior to November 2019 from the Web of Science Core Collection about single-cell sequencing methods. RESULTS: Ultimately, we identified 2489 records, which were published in 495 journals by 14,202 authors from 1970 institutes in 61 countries. There was a noticeable increase in publications in 2014. The United States and high-income countries in Europe contributed to most of the records included. Harvard University, Stanford University, Karolinska Institutes, Peking University, and the University of Washington were the biggest nodes in every cluster of the collaboration network, and SA Teichmann, JC Marioni, A Regev, and FC Tang were the top-producing authors. Keywords co-occurrence analysis suggested applications in immunology as a developing research trend. CONCLUSIONS: We concluded that the global collaboration network was unformed and that high-income countries contributed more to the rapidly growth of publications of single-cell sequencing technology. Furthermore, the application in immunology might be the next research hotspot and developmental direction. |
format | Online Article Text |
id | pubmed-8386406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-83864062021-09-02 Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis Wang, Quan Yang, Ke-Lu Zhang, Zhen Wang, Zhu Li, Chen Li, Lun Tian, Jin-Hui Ye, Ying-Jiang Wang, Shan Jiang, Ke-Wei J Med Internet Res Original Paper BACKGROUND: As single-cell sequencing technology has been gradually introduced, it is essential to characterize global collaboration networks and map development trends over the past 20 years. OBJECTIVE: The aim of this paper was to illustrate collaboration in the field of single-cell sequencing methods and explore key topics and future directions. METHODS: Bibliometric analyses were conducted with CiteSpace and VOSviewer software on publications prior to November 2019 from the Web of Science Core Collection about single-cell sequencing methods. RESULTS: Ultimately, we identified 2489 records, which were published in 495 journals by 14,202 authors from 1970 institutes in 61 countries. There was a noticeable increase in publications in 2014. The United States and high-income countries in Europe contributed to most of the records included. Harvard University, Stanford University, Karolinska Institutes, Peking University, and the University of Washington were the biggest nodes in every cluster of the collaboration network, and SA Teichmann, JC Marioni, A Regev, and FC Tang were the top-producing authors. Keywords co-occurrence analysis suggested applications in immunology as a developing research trend. CONCLUSIONS: We concluded that the global collaboration network was unformed and that high-income countries contributed more to the rapidly growth of publications of single-cell sequencing technology. Furthermore, the application in immunology might be the next research hotspot and developmental direction. JMIR Publications 2021-08-10 /pmc/articles/PMC8386406/ /pubmed/34014832 http://dx.doi.org/10.2196/25789 Text en ©Quan Wang, Ke-Lu Yang, Zhen Zhang, Zhu Wang, Chen Li, Lun Li, Jin-Hui Tian, Ying-Jiang Ye, Shan Wang, Ke-Wei Jiang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 10.08.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Wang, Quan Yang, Ke-Lu Zhang, Zhen Wang, Zhu Li, Chen Li, Lun Tian, Jin-Hui Ye, Ying-Jiang Wang, Shan Jiang, Ke-Wei Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis |
title | Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis |
title_full | Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis |
title_fullStr | Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis |
title_full_unstemmed | Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis |
title_short | Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis |
title_sort | characterization of global research trends and prospects on single-cell sequencing technology: bibliometric analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386406/ https://www.ncbi.nlm.nih.gov/pubmed/34014832 http://dx.doi.org/10.2196/25789 |
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