论文标题
阿片类药物用于癌症的疼痛治疗：知识成熟度映射
Opioids for pain treatment of cancer: a knowledge maturity mapping
论文作者
论文摘要
基于对4,935篇科学网络文章的文献计量分析的概念结构的构建。对结果进行了处理，以识别最引用的文章，以提取关键词，作者，期刊，国家，机构及其趋势及其联系和协作程度的主要词和频率。分析了时间趋势，云，关键字网络，单词的演变，作者生产和逐个国家的科学生产，以增加阿片类药物来治疗癌性和非癌性疼痛的频率增加。
The conceptual structure of opioids, based on the bibliometric analysis of 4,935 articles of the Web of Science was constructed. The results were processed identifying the most cited articles to extract the main connections and frequencies of key words, authors, journals, countries, institutions, and their tendencies and their connection and degree of collaboration. The temporal tendencies, the word cloud, the keyword network, the evolution of words, author production and the scientific production by country are analyzed in terms of the increasing frequency in which opioids are employed to treat both cancerous and non-cancerous pain.
