目的/意义 识别领域研究前沿,辅助科学研究者有效遴选和追踪重点研究主题,助力科研管理决策者动态调整政策导向.方法/过程 以Web of Science 2012-2022年37 927条肿瘤学领域高影响力期刊文献题录和高被引文献题录为数据样本,运用BERTop提取主题,构建多维指标研究前沿识别模型,从多维度识别领域内不同类型的研究前沿.结果/结论 所构建模型识别出肿瘤学领域热点研究前沿主题9个、新兴研究前沿主题14个、潜在研究前沿主题13个和衰退研究主题1个,具有有效性.
Study on Frontier Identification of Oncology Research Based on High Quality Literature
Purpose/Significance To identify research frontiers in the field,so as to assist scientific researchers to effectively select and track key research topics,and help research management decision-makers to dynamically adjust policy orientation.Method/Process Taking 37 927 pieces of high-impact journal document references and highly cited document references from the WOS database which published in the period of 2012-2022 as the data samples,BERTopic is used to extract topics,a multi-dimensional indicator re-search frontier recognition model is constructed,and different types of research frontiers in the field are identified from multiple dimen-sions.Result/Conclusion The proposed model identifies 9 hot research frontier topics,14 emerging research frontier topics,13 potential research frontier topics and 1 declining research topic in the field of oncology,which is effective.
research frontierBERTopicmultidimensional indicatoroncologyhigh quality literature
万方数据
维普
