目的了解当前胰腺神经内分泌肿瘤(pNEN)影像研究领域的现状及热点问题。方法检索1998–2018年期间Web of Science核心数据库中有关pNEN研究的相关论文,采用文献计量学方法,通过CiteSpace软件进行定量分析。结果共检索到pNEN影像研究领...目的了解当前胰腺神经内分泌肿瘤(pNEN)影像研究领域的现状及热点问题。方法检索1998–2018年期间Web of Science核心数据库中有关pNEN研究的相关论文,采用文献计量学方法,通过CiteSpace软件进行定量分析。结果共检索到pNEN影像研究领域文献190篇,其中发表文献数量居前3位的国家为美国、德国及意大利。pNEN共被引文献的聚类包括:超声内镜、诊断现状、前瞻性评估、囊性胰腺神经内分泌瘤、富血供神经内分泌瘤、无功能胰腺神经内分泌瘤、体素内不相干运动及转移灶。pNEN研究领域热点词包括:细针穿刺活检、CT、诊断、胰腺、癌症、神经内分泌瘤、肿瘤、癌、管理。研究热点关键词聚类有:神经内分泌瘤、胰腺肿块大小、非高功能神经内分泌瘤、CT表现、转移灶、辅助研究、生长抑素类似物、生长抑素、术中超声及多发性内分泌瘤病Ⅰ型。结论 pNEN的精准影像学诊断仍然是该领域的热点问题。展开更多
Internet of Things(IoT)is a key technology trend that supports our digitalized society in applications such as smart countries and smart cities.In this study,we investigate the existing strategic themes,thematic evolu...Internet of Things(IoT)is a key technology trend that supports our digitalized society in applications such as smart countries and smart cities.In this study,we investigate the existing strategic themes,thematic evolution structure,key challenges,and potential research opportunities associated with the IoT.For this study,we conduct a Bibliometric Performance and Network Analysis(BPNA),supplemented by an exhaustive Systematic Literature Review(SLR).Specifically,in BPNA,the software SciMAT is used to analyze 14,385 documents and 30,381 keywords in the Web of Science(WoS)database,which was released between 2002 and 2019.The results reveal that 31 clusters are classified according to their importance and development,and the conceptual structures of key clusters are presented,along with their performance analysis and the relationship with other subthemes.The thematic evolution structure describes the important cluster(s)over time.For the SLR,23 documents are analyzed.The SLR reveals key challenges and limitations associated with the IoT.We expect the results will form the basis of future research and guide decision-making in the IoT and other supporting industries.展开更多
文摘目的了解当前胰腺神经内分泌肿瘤(pNEN)影像研究领域的现状及热点问题。方法检索1998–2018年期间Web of Science核心数据库中有关pNEN研究的相关论文,采用文献计量学方法,通过CiteSpace软件进行定量分析。结果共检索到pNEN影像研究领域文献190篇,其中发表文献数量居前3位的国家为美国、德国及意大利。pNEN共被引文献的聚类包括:超声内镜、诊断现状、前瞻性评估、囊性胰腺神经内分泌瘤、富血供神经内分泌瘤、无功能胰腺神经内分泌瘤、体素内不相干运动及转移灶。pNEN研究领域热点词包括:细针穿刺活检、CT、诊断、胰腺、癌症、神经内分泌瘤、肿瘤、癌、管理。研究热点关键词聚类有:神经内分泌瘤、胰腺肿块大小、非高功能神经内分泌瘤、CT表现、转移灶、辅助研究、生长抑素类似物、生长抑素、术中超声及多发性内分泌瘤病Ⅰ型。结论 pNEN的精准影像学诊断仍然是该领域的热点问题。
基金financed in part by the Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior-Brazil(CAPES)-Finance Code 001 and the Spanish Ministry of Science and Innovation under grants PID2019-105381 GA-100(iScience)。
文摘Internet of Things(IoT)is a key technology trend that supports our digitalized society in applications such as smart countries and smart cities.In this study,we investigate the existing strategic themes,thematic evolution structure,key challenges,and potential research opportunities associated with the IoT.For this study,we conduct a Bibliometric Performance and Network Analysis(BPNA),supplemented by an exhaustive Systematic Literature Review(SLR).Specifically,in BPNA,the software SciMAT is used to analyze 14,385 documents and 30,381 keywords in the Web of Science(WoS)database,which was released between 2002 and 2019.The results reveal that 31 clusters are classified according to their importance and development,and the conceptual structures of key clusters are presented,along with their performance analysis and the relationship with other subthemes.The thematic evolution structure describes the important cluster(s)over time.For the SLR,23 documents are analyzed.The SLR reveals key challenges and limitations associated with the IoT.We expect the results will form the basis of future research and guide decision-making in the IoT and other supporting industries.
