骨肉瘤的中医药研究现状的文献计量分析

Meng-chen YIN; Hong-shen WANG; Xi YANG; Chong-qing XU; Tao WANG; Yin-jie YAN; Zhao-xiang FAN; Jun-ming MA; Jie YE; Wen MO

doi:10.1007/s11655-020-3429-4

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骨肉瘤的中医药研究现状的文献计量分析

Literature Research | Updated：2022-06-27

- 骨肉瘤的中医药研究现状的文献计量分析
- A Bibliometric Analysis and Visualization of Current Research Trends in Chinese Medicine for Osteosarcoma
- Chinese Journal of Integrative Medicine 2022年28卷第5期页码：445-452
- Affiliations：
  
  1.Department of Orthopaedics, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai (200032),China
  2.Division of Spine Surgery Center, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou(510120), China
  3.Cancer Institute, Longhua Hospital,Shanghai University of Traditional Chinese Medicine, Shanghai(200032), China
- Author bio：
  
  Prof. MO Wen, E-mail: mw2218@126.com
- Funds：
  
  the National Science Foundation of China(81704097);"Sailing Program" of the Shanghai Science and Technology Committee(19YF1449600);the "Yumiao Project" of Longhua Hospital affiliated to Shanghai University of Chinese Medicine(LYTD-60)
- DOI：10.1007/s11655-020-3429-4
  中图分类号：
- 纸质出版日期：2022-05-01，
  
  网络出版日期：2020-09-02，
  
  录用日期：2020-06-28
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Meng-chen YIN, Hong-shen WANG, Xi YANG, 等. 骨肉瘤的中医药研究现状的文献计量分析[J]. Chinese Journal of Integrative Medicine, 2022,28(5):445-452.

Meng-chen YIN, Hong-shen WANG, Xi YANG, et al. A Bibliometric Analysis and Visualization of Current Research Trends in Chinese Medicine for Osteosarcoma[J]. Chinese Journal of Integrative Medicine, 2022,28(5):445-452.
Meng-chen YIN, Hong-shen WANG, Xi YANG, 等. 骨肉瘤的中医药研究现状的文献计量分析[J]. Chinese Journal of Integrative Medicine, 2022,28(5):445-452. DOI： 10.1007/s11655-020-3429-4.

Meng-chen YIN, Hong-shen WANG, Xi YANG, et al. A Bibliometric Analysis and Visualization of Current Research Trends in Chinese Medicine for Osteosarcoma[J]. Chinese Journal of Integrative Medicine, 2022,28(5):445-452. DOI： 10.1007/s11655-020-3429-4.

摘要

目的:

通过文献计量分析和可视化工具

阐述中医药治疗(CM)骨肉瘤(OS)的研究框架、总体知识结构和发展趋势.

方法:

从Web of Science (WOS)数据库中获取1980年1月1日至2019年9月30日的研究数据. 利用VOS viewer和Citespace软件对数据进行分析

生成可视化知识图. 分析了论文发表的年度趋势、研究机构分布、期刊分布、被引和索引情况、合著情况、研究热点和共被引情况.

结果:

WOS数据库共有223篇文献符合要求. 论文发表数量呈上升趋势

但中国的被引频次和h指数相对较低. 这些国家、研究机构和作者之间的合作相对薄弱. 大多数出版物都是基础研究. 以往的研究多集中在CM治疗OS的基本机制上

治疗和剂型的改进可能成为该研究领域的前沿.

结论:

与其他领域相比

CM治疗骨肉瘤的领域仍处于起步阶段. 研究分布不均衡

国家、机构和作者之间的合作有待加强. 此外

基础研究占据绝对优势地位

探索CM防治OS的分子机制可能成为未来的重点.

Abstract

Background:

To illustrate the research framework

overall knowledge structure

and development trends of Chinese medicine (CM) treatment for osteosarcoma (OS) by using a bibliometric analysis and newly developed visualization tools.

Methods:

Research datasets were acquired from the Web of Science (WOS) database from January 1

1980 to September 30

2019. VOS viewer and Citespace software was used to analyze the data and generate visualization knowledge maps. Annual trends of publications

distribution of institutes

distribution of journals

citation and H-index status

co-authorship status

research hotspots and co-citation status were analyzed.

Results:

A total of 223 publications in the WOS database met the requirement. The number of published articles showed a rise but the citation frequency and the H-index of China were relatively low. The cooperation between the countries

institutes and authors were relatively weak. Most publications were basic researches. Most of the previous researches focused on basic mechanisms of CM in treating OS

and therapy and improvement of dosage form may become a frontier in this research field.

Conclusions:

Compared with other fields

the field of CM treatment for osteosarcome is still in infancy. The distribution of researches is imbalanced and cooperation between countries

institutions and authors remains to be strengthened. Furthermore

basic research occupies an absolute dominant position

and the exploration of the molecular mechanism of CM in preventing and treating OS may become a key point in the future.

关键词

Keywords

osteosarcomaChinese medicinebibliometric analysisvisualizationresearch trends

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