Study on Frontier Identification of Oncology Research Based on High Quality Literature
10.3969/j.issn.1673-6036.2024.07.009
- VernacularTitle:基于高质量文献的肿瘤学领域研究前沿识别研究
- Author:
Shaohua ZHU
1
;
Yanhong LI
;
Xun ZHANG
;
Hailiang HUANG
Author Information
1. 上海交通大学医学院附属瑞金医院图书馆 上海 200025
- Keywords:
research frontier;
BERTopic;
multidimensional indicator;
oncology;
high quality literature
- From:
Journal of Medical Informatics
2024;45(7):49-54
- CountryChina
- Language:Chinese
-
Abstract:
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.
