中国医科大学学报

中国医科大学学报
  • 中文核心期刊
  • 中国科技核心期刊
  • 中国高校百佳科技期刊
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中国医科大学学报 ›› 2018, Vol. 47 ›› Issue (12): 1067-1071,1076.doi: 10.12007/j.issn.0258-4646.2018.12.003

• 论著 • 上一篇    下一篇

糖尿病视网膜病变基因相关研究热点的文献计量学分析

赵芳坤1, 张劲松1, 施蓓2, 宋雨凌3, 许军1   

  1. 1. 中国医科大学附属第四医院眼科, 眼科医院, 辽宁省晶状体学重点实验室, 沈阳 110005;
    2. 中国医科大学基础医学院机能学科实验中心, 沈阳 110122;
    3. 中国医科大学附属第四医院内分泌科, 沈阳 110032
  • 收稿日期:2018-08-05 出版日期:2018-12-06 发布日期:2018-12-06
  • 通讯作者: 许军 E-mail:xujunone@126.com
  • 作者简介:赵芳坤(1985-),女,主治医师,博士.
  • 基金资助:
    国家自然科学基金(81470617);辽宁省高等学校基本科研项目(LQNK201717);沈阳市科技计划(18-014-4-46)

Theme Trends and Knowledge Structure of Diabetic Retinopathy-Related Genes: Quantitative and Co-Word Analysis

ZHAO Fangkun1, ZHANG Jinsong1, SHI Bei2, SONG Yuling3, XU Jun1   

  1. 1. Department of Ophthalmology, The Fourth Affiliated Hospital, China Medical University, Eye Hospital of China Medical University, Key Lens Research Laboratory of Liaoning Province, Shenyang 110005, China;
    2. Functional Laboratory Center, College of Basic Medical Science, China Medical University, Shenyang 110122, China;
    3. Department of Endocrinology, The Fourth Affiliated Hospital, China Medical University, Shenyang 110032, China
  • Received:2018-08-05 Online:2018-12-06 Published:2018-12-06

摘要: 目的 从文献计量学的角度系统分析近7年糖尿病视网膜病变(DR)基因相关文献的分布规律及研究热点,为开展DR相关基础研究提供参考依据。方法 以PubMed数据库为数据源,对2010年1月至2017年12月所收录的DR基因相关文献采用书目信息共现挖掘系统(BICOMS)进行统计分析,对高频主题词共现矩阵进行聚类分析、绘制战略坐标图。结果 共检出DR基因相关文献1 193篇。通过对44个高频主题词及副主题词进行聚类分析,结果显示当前的热点主要集中在以下5个方面:(1)DR相关基因单核苷酸多态性的遗传学研究;(2)视网膜新生血管相关病理学、动物模型及遗传学研究;(3)DR相关腺病毒及信使RNA基因研究;氧化应激所致视网膜色素上皮细胞病变的研究;(4)DR药物治疗相关基因研究;(5)高糖血症所致视网膜血管内皮细胞凋亡的代谢性研究。战略坐标图显示:第一类、第五类研究密度及向心度均较高,其中DR相关基因单核苷酸多态性的遗传学研究处于核心地位,该类主题可以在一定程度上带动其余各主题的发展;第二类、第四类研究处于边缘,该方面研究较为薄弱,有可能成为未来发展的方向;第三类研究内在研究较差,需要加强自身研究,丰富主题内容。结论 多元统计直观展示了近年来DR基因相关的研究现状、热点和趋势,为科研提供了参考信息。

关键词: 糖尿病视网膜病变, 文献计量学, 共词分析

Abstract: Objective To survey the distribution pattern and knowledge structure of diabetic retinopathy (DR) -related genes based on a literature search in the PubMed database. Methods Scientific papers published between January 1,2010 and December 31,2017 were retrieved. The extracted MeSH terms were analyzed quantitatively using bibliographic item co-occurrence mining system (BICOMS),and MeSH terms used frequently were identified. Hierarchical cluster analysis was conducted with SPSS 19.0 according to the MeSH term-source article matrix. A high-frequency MeSH terms co-occurrence matrix was constructed to support a strategic diagram. Results According to the search strategy,1 193 papers were included. Among all those extracted,44 high-frequency MeSH terms were identified,and hotspots were clustered into 5 categories. In the strategic diagram,cluster 1 and 5 were well developed. In contrast,cluster 2 and 4 were not well established,indicating the possibility for further research in the field. Conclusion Studies on DR genes are relatively diverse,and the 5 research categories derived from this study may reflect publication trends for DR-related genes to some extent. Quantitative bibliometric research for a 7-year period could aid in depicting the overall command of the latest topics and provide some hints for researchers initiating new projects.

Key words: diabetic retinopathy, bibliometric analysis, co-word analysis

中图分类号: 

  • R776.4
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