Hernández-González Osvaldo, Fresno-Rodríguez Andrés, Spencer-Contreras Rosario Elena, Tárraga-Mínguez Raúl, González-Fernández Daniela, Sepúlveda-Opazo Francisca
Faculty of Psychology and Institute of Humanistic Studies Juan Ignacio Molina, Universidad de Talca, Talca 3480094, Chile.
Faculty of Psychology, Universidad de Talca, Talca 3480094, Chile.
Healthcare (Basel). 2023 Apr 28;11(9):1267. doi: 10.3390/healthcare11091267.
The number of research related to traumatic experiences in people with autism spectrum disorder (ASD) has grown exponentially, yet there are no bibliometric studies in this field. This article aimed to analyze the literature related to trauma and ASD published in Web of Science (WoS). Papers on trauma and ASD were retrieved from the WoS. Analysis and visualization of selected documents were performed using MS Excel (v16.0), VOS viewer (version 1.6.15), and R package (Biblioshiny, version 2.0). A total of 147 articles were included in this study. The results showed that production has been increasing over the last few years. Among the countries identified, the USA published the largest number of articles. Arvid Nikolai Kildahl, Sissel Berge Helverschou, and Liliana Dell'Osso were the authors with the most number of publications on this topic, and Autism was the most productive journal. The main research topics associated with ASD were post-traumatic stress and traumatic experiences in childhood. This bibliometric study contributes to understanding research trends on trauma and ASD by evaluating relevant publications in the last decades. The results of this bibliometric analysis can serve as a basis and orientation for new studies.
与自闭症谱系障碍(ASD)患者创伤经历相关的研究数量呈指数级增长,但该领域尚无文献计量学研究。本文旨在分析科学网(WoS)上发表的与创伤和ASD相关的文献。从WoS中检索关于创伤和ASD的论文。使用MS Excel(v16.0)、VOS viewer(版本1.6.15)和R包(Biblioshiny,版本2.0)对选定文档进行分析和可视化。本研究共纳入147篇文章。结果表明,在过去几年中,相关研究成果一直在增加。在已确定的国家中,美国发表的文章数量最多。阿维德·尼古拉·基尔达尔、西塞尔·贝格·海尔弗舒和莉莉安娜·德尔·奥索是关于该主题发表文章最多的作者,《自闭症》是发表文章最多的期刊。与ASD相关的主要研究主题是创伤后应激和童年创伤经历。这项文献计量学研究通过评估过去几十年的相关出版物,有助于了解创伤和ASD的研究趋势。该文献计量分析的结果可为新研究提供基础和方向。
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