| 基于关键词的大骨节病中文文献研究主题剖析 |
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| 引用本文： | 丁界先,;刘璐,;李伦,;田金徽,;杨克虎,;田宏亮,;王权,;时春虎.基于关键词的大骨节病中文文献研究主题剖析[J].中华医学图书馆杂志,2014(9):20-24. |
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| 作者姓名： | 丁界先 ;刘璐 ;李伦 ;田金徽 ;杨克虎 ;田宏亮 ;王权 ;时春虎 |
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| 作者单位： | [1]兰州大学基础医学院循证医学中心,甘肃兰州730000; [2]兰州大学第一临床医学院,甘肃兰州730000; [3]兰州大学第二临床医学院,甘肃兰州730000 |
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| 基金项目： | 大骨节病儿童甲状腺激素与骨发育关系研究（1104FKCA165） |
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| 摘 要： | 目的：对大骨节病中文文献的关键词进行分析,揭示我国大骨节病研究的主要方向。方法：检索CNKI、CBM、VIP、万方期刊全文数据库,纳入所有关于大骨节病的中文期刊文献。利用BICOMS抽取和整理关键词,生成共现矩阵,采用gCLUTO进行聚类分析。结果：目前大骨节病研究主要集中镰刀菌代谢的真菌毒素和黄腐酸在大骨节病病理过程中的作用、大骨节病病因、大骨节病患者功能状态的改变、大骨节病与地质环境的关系、大骨节病的病情监测及X线诊断、大骨节病关节炎的手术治疗、大骨节病的防治效果分析。社会网络图显示大骨节病病因、大骨节病与地质环境的关系、大骨节病的病情监测及X线诊断、大骨节病关节炎的手术治疗和大骨节病的防治效果分析是目前研究的热点。结论：通过共词聚类分析确定的研究主题符合我国目前大骨节病的研究方向。
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| 关 键 词： | 研究主题 共词聚类分析 大骨节病 文献计量 |
Key words-based analysis of subjects in Chinese papers on Kashin-Beck disease |
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| Institution: | DING Jie-xian, LIU Lu, LI Lun, TIAN Jin-hui, YANG Ke-hu , TIAN Hong-liang, WANG Quan, SHI Chun-hu( 1. Center of Evidence-based Medicine, College of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, Gansu Province, China; 2. No. 1 College of Clinical Medicine, Lanzhou University, Lanzhou 730000, Gansu Province, China; 3. No. 2 College of Clinical Medicine, Lanzhou University, Lanzhou 730000, Gansu Province, China) |
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| Abstract: | Objective To reveal the main interests in studies of Kashin-Beck disease by analyzing the key words in Chinese papers on Kashin-Beck disease. Methods Chinese papers on Kashin-Beck disease were retrieved from CNKI, CBM, VIP, and Wanfang digital journal full-text database. A co-word matrix was generated by abstracting their key words which were analyzed by gCLUTO clustering. Results The studies on Kashin-Beck disease were centered on the role of fusarium metabolic toxins and fulvic acid in pathology of Kashin-Beck disease, etiology of Kashin-Beck disease, functional change in Kashin-Beck disease patients, relation between Kashin-Beck disease and geological environment, monitoring and X-ray diagnosis of Kashin-Beck disease, surgical treatment of Kashin-Beck disease, prevention and treatment efficiency analysis of Kashin-Beck disease. Social network figure showed that etiology of Kashin-Beck disease, relation between Kashin-Beck disease and geological environment, monitoring and X-ray diagnosis of Kashin- Beck disease, surgical treatment of Kashin-Beck disease, prevention and treatment efficiency analysis of Kashin-Beck disease were the hot spots in studies of Kashin-Beck disease at present. Conclusion The research subjects determined by co-word clustering analysis are consistent with the interests in studies of Kashin-Beck disease in China at present. |
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| Keywords: | Research subject Co-word clustering analysis Kashin-Beck disease Bibliometrics |
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