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绘制自闭症研究的景观:一个科学测评 (2011-2023)
Pratibha Mahajan1, Deven Patil1, Nidhi Nair1
1Department of Artificial Intelligence, Vishwakarma University, Pune, India.
概括
自2020年以来,自闭症谱系障碍 (ASD) 研究显著增加,美国,英国和中国领先. 关键趋势包括机器学习和神经成像,范德比尔特大学和耶鲁大学是主要贡献者.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 图书统计学 图书统计学
背景情况:
- 自闭症谱系障碍 (ASD) 研究已在全球范围内扩大.
- 了解研究趋势,合作和关键机构对于推进ASD知识至关重要.
- 科学度方法提供了对研究领域的定量概述.
研究的目的:
- 从2011年到2023年绘制自闭症谱系障碍 (ASD) 研究的科学测量格局.
- 确定出版趋势,地理分布,机构参与和不断变化的研究主题.
- 突出关键贡献者,协作网络,以及资金对ASD研究的影响.
主要方法:
- 科学度分析与自闭症谱系障碍 (ASD) 相关的出版物.
- 审查出版物增长,地理分布和机构贡献.
- 分析研究主题,包括技术集成,如机器学习和神经成像.
主要成果:
- 观察到ASD出版物的显著增加,特别是在2020年之后.
- 美国,英国和中国在自闭症研究成果和合作方面处于领先地位.
- 范德比尔特大学和耶鲁大学被确定为具有高引用影响力的主要贡献机构.
- 在ASD研究中向先进的机器学习和神经成像技术的显著转变.
结论:
- 自闭症研究领域正在迅速扩大,国际合作越来越多.
- 技术进步,特别是机器学习和神经成像,正在塑造当前的自闭症研究.
- 确定关键机构和资助机构,如国家卫生研究院,对于未来的研究战略和跨学科的方法来理解和干预ASD至关重要.
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