摘要： 目的 调查皮肤病学领域的相关文献，得出近期该领域的研究热点，了解其发展现状，为未来的研究提供方向。方法 利用JCR数据库查阅皮肤病学领域的相关期刊，应用PubMed数据库获取皮肤病学领域影响因子最高的4个杂志中近2年的所有文献。用书目共现分析系统（BICOMB2.0软件）统计文献中的主要主题词/副主题词的出现频次，并截取出现频次>15次者为高频词，获得词篇矩阵。利用gCLUTO软件对其进行聚类分析，通过分析不同类别主要主题词/副主题词，获得目前皮肤病学领域的研究热点。结果 共检索出5 136篇文献，选择出现频次>15次的主要主题词/副主题词共38对，聚为4类。结论 现阶段皮肤病学的研究热点主要有3个大方向，即皮肤病的药物治疗、疗效评价及安全情况，黑色素瘤的遗传学、危险因素、流行病学、生存预后、发病率与死亡率等，应用皮肤镜等影像技术诊断皮肤肿瘤，评估恶性皮肤肿瘤的风险。

基于聚类分析方法的皮肤病学研究热点分析

祝琳琳¹, 崔雷²

1. 沈阳市第七人民医院皮肤科, 沈阳 110003;
2. 中国医科大学健康管理学院情报学教研室, 沈阳 110122

收稿日期:2020-12-25出版日期:2022-01-30发布日期:2021-12-30
通讯作者:崔雷E-mail:lcui@cmu.edu.cn
作者简介:祝琳琳(1987-),女,主治医师,硕士.



关键词: 皮肤病学, 聚类分析, 研究热点, 文献计量分析
Abstract: Objective To investigate the research hotspots in the field of dermatology to understand its development status and to provide directions for future research. Methods The JCR database was used to search for relevant journals in the field of dermatology. Similarly, the PubMed database was used to obtain all the literature across the four journals with the highest impact factors in the field of dermatology over the last two years. Both were recorded. The bibliographic co-occurrence analysis system (BICOMB2.0 software) was used to count the occurrence frequency of the major subject/subtopic words in the literature, and intercept the high-frequency words that appeared more than 15 times to obtain the lexicon matrix. gCLUTO software was used for cluster analysis, and obtain the current research hotspots in the field of dermatology by analyzing the major subject/subtopic words of different categories. Results A total of 5 136 references were retrieved, and 38 pairs of the major subject/subtopic words with a frequency of >15 times were selected, which were grouped into four cate- gories. Conclusion The current research hotspots of dermatology stem into three major directions:drug treatment, efficacy evaluation and safety of skin diseases;research on the genetics, risk factors, epidemiology, survival prognosis, morbidity and mortality of melanoma;and using dermoscopy and other imaging techniques to diagnose skin tumors and assess the risk of malignant skin tumors.
Key words: dermatology, cluster analysis, research hotspots, bibliometric analysis
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