儿童非典型语言习得的研究,自闭症谱系障碍(ASD)是至关重要的实践和理论的原因。了解ASD的语言发展过程可以为潜在的干预措施和治疗提供信息,同时阐明典型发育中儿童语言发展的必要条件。这篇科学综述旨在全面概述该领域的研究现状,识别趋势,模式,和知识差距。本综述采用的方法包括对三个主要数据库的系统搜索:Scopus(5,026个文档),WebofScience(WoS;4,570个文档),和镜头(3,235个文件)。分析包括文献计量指标,如按年份划分的知识生产规模,国家,大学,来源,主题区域,作者,和引用。科学测量指标包括爆发检测,剪影,集群,引用,和共同出现的关键字。分析揭示了集群关注ASD语言发展的各个方面,比如运动技能,父母沟通策略,认知过程,和遗传学。关键聚类包括精细运动手势和语言使用模式之间的关系,表达语言技能和母亲手势使用的作用,以及在线家长培训模块对提高语言前预测因子的有效性。其他值得注意的集群探索核心语言技能的重要性,自然语言输入和句法复杂性的作用,以及高功能ASD成年人语言能力的遗传基础。总之,这篇科学计量学评论突出了前10个集群及其各自的剪影值,为ASD的语言习得提供有价值的见解。这些发现对于指导未来的研究方向以及为创建有针对性的有效干预措施以支持该人群的语言习得具有重要意义。
The study of atypical language acquisition in children with, autism spectrum disorder (ASD) is crucial for both practical and theoretical reasons. Understanding the course of language development in ASD can inform potential interventions and treatments while shedding light on the necessary conditions for language development in typically developing children. This scientometric
review aims to provide a comprehensive overview of the research landscape in this field, identifying trends, patterns, and knowledge gaps. The methods employed in this
review comprise a systematic search of three major databases: Scopus (5,026 documents), Web of Science (WoS; 4,570 documents), and Lens (3,235 documents). The analysis includes bibliometric indicators such as knowledge production size by year, country, university, source, subject area, author, and citation. Scientometric indicators consist of burst detection, silhouette, clusters, citation, and co-occurrence of keywords. The analysis reveals clusters focusing on various aspects of language development in ASD, such as motor skills, parental communication strategies, cognitive processes, and genetics. Key clusters include the relationship between fine motor gestures and language usage patterns, the role of expressive language skills and maternal gesture use, and the effectiveness of online parent training modules for improving prelinguistic predictors. Other noteworthy clusters explore the importance of core language skills, the role of natural language input and syntactic complexity, and the genetic underpinnings of language abilities in high-functioning adults with ASD. In conclusion, this scientometric
review highlights the top 10 clusters and their respective Silhouette values, providing valuable insights into language acquisition in ASD. These findings have important implications for guiding future research directions and informing the creation of targeted and effective interventions to support language acquisition in this population.