Wang Xiaoyu, Guo Jingjing, Gu Dongxiao, Yang Ying, Yang Xuejie, Zhu Keyu
The 1st Affiliated Hospital, Anhui University of Traditional Chinese Medicine, Anhui 230031, China.
The School of Management, Hefei University of Technology, Hefei, Anhui 230009, China.
J Cancer. 2019 Jun 2;10(12):2643-2653. doi: 10.7150/jca.32739. eCollection 2019.
Due to various environmental pollution issues, cancers have become the "first killer" of human beings in the 21st century and their control has become a global strategy of human health. The increasing development of emerging information technologies has provided opportunities for prevention, early detection, diagnosis, intervention, prognosis, nursing, and rehabilitation of cancers. In recent years, the literature associated with emerging technologies in cancer has grown rapidly, but few studies have used bibliometrics and a visualization approach to conduct deep mining and reveal a panorama of this field. To explore the dynamic knowledge evolution of emerging information technologies in cancer literature, we comprehensively analyzed the development status and research hotspots in this field from bibliometrics perspective. We collected 7,136 articles (2000-2017) from the Web of Science database and visually displayed the dynamic knowledge evolution process via the analysis on time-sequence changes, spatial distribution, knowledge base, and hotspots. Much institutional cooperation occurs in this field, and research groups are relatively concentrated. BMC Bioinformatics, PLOS One, Journal of Urology, Scientific Reports, and Bioinformatics are the top five journals in this field. Research hotspots are mainly concentrated in two dimensions: the disease dimension (e.g., cancer, breast cancer, and prostate cancer), and the technical dimension (e.g., robotics, machine learning, data mining, and etc.). The emerging technologies in cancer research is fast ascending and promising. This study also provides researchers with panoramic knowledge of this field, as well as research hotspots and future directions.
由于各种环境污染问题，癌症已成为21世纪人类的“头号杀手”，对其控制已成为人类健康的一项全球战略。新兴信息技术的不断发展为癌症的预防、早期检测、诊断、干预、预后、护理和康复提供了机遇。近年来，与癌症领域新兴技术相关的文献迅速增长，但很少有研究使用文献计量学和可视化方法进行深度挖掘并揭示该领域的全景。为了探索癌症文献中新兴信息技术的动态知识演化，我们从文献计量学角度全面分析了该领域的发展现状和研究热点。我们从科学引文索引数据库收集了7136篇文章（2000 - 2017年），并通过对时间序列变化、空间分布、知识库和热点的分析，直观展示了动态知识演化过程。该领域存在大量机构合作，研究团队相对集中。《BMC生物信息学》《公共科学图书馆·综合》《泌尿学杂志》《科学报告》和《生物信息学》是该领域排名前五的期刊。研究热点主要集中在两个维度：疾病维度（如癌症、乳腺癌和前列腺癌）和技术维度（如机器人技术、机器学习、数据挖掘等）。癌症研究中的新兴技术正在迅速崛起且前景广阔。本研究还为研究人员提供了该领域的全景知识以及研究热点和未来方向。
