Yao Xiaohui, Yan Jingwen, Ginda Michael, Börner Katy, Saykin Andrew J, Shen Li
Center for Neuroimaging, Indiana University, Indianapolis, Indiana, United States of America.
Indiana University Network Science Institute, Indiana University, Bloomington, Indiana, United States of America.
PLoS One. 2017 Nov 2;12(11):e0186095. doi: 10.1371/journal.pone.0186095. eCollection 2017.
Alzheimer's disease neuroimaging initiative (ADNI) is a landmark imaging and omics study in AD. ADNI research literature has increased substantially over the past decade, which poses challenges for effectively communicating information about the results and impact of ADNI-related studies. In this work, we employed advanced information visualization techniques to perform a comprehensive and systematic mapping of the ADNI scientific growth and impact over a period of 12 years.
Citation information of ADNI-related publications from 01/01/2003 to 05/12/2015 were downloaded from the Scopus database. Five fields, including authors, years, affiliations, sources (journals), and keywords, were extracted and preprocessed. Statistical analyses were performed on basic publication data as well as journal and citations information. Science mapping workflows were conducted using the Science of Science (Sci2) Tool to generate geospatial, topical, and collaboration visualizations at the micro (individual) to macro (global) levels such as geospatial layouts of institutional collaboration networks, keyword co-occurrence networks, and author collaboration networks evolving over time.
During the studied period, 996 ADNI manuscripts were published across 233 journals and conference proceedings. The number of publications grew linearly from 2008 to 2015, so did the number of involved institutions. ADNI publications received much more citations than typical papers from the same set of journals. Collaborations were visualized at multiple levels, including authors, institutions, and research areas. The evolution of key ADNI research topics was also plotted over the studied period.
Both statistical and visualization results demonstrate the increasing attention of ADNI research, strong citation impact of ADNI publications, the expanding collaboration networks among researchers, institutions and ADNI core areas, and the dynamic evolution of ADNI research topics. The visualizations presented here can help improve daily decision making based on a deep understanding of existing patterns and trends using proven and replicable data analysis and visualization methods. They have great potential to provide new insights and actionable knowledge for helping translational research in AD.
阿尔茨海默病神经影像学计划（ADNI）是阿尔茨海默病领域一项具有里程碑意义的影像学和组学研究。在过去十年中，ADNI的研究文献大幅增加，这给有效传达ADNI相关研究的结果和影响带来了挑战。在这项工作中，我们采用先进的信息可视化技术，对ADNI在12年期间的科学发展和影响进行了全面系统的映射。
从Scopus数据库下载了2003年1月1日至2015年12月5日期间与ADNI相关出版物的引用信息。提取并预处理了作者、年份、所属机构、来源（期刊）和关键词这五个字段。对基本出版数据以及期刊和引用信息进行了统计分析。使用科学学（Sci2）工具进行科学映射工作流程，以生成从微观（个体）到宏观（全球）层面的地理空间、主题和合作可视化，如机构合作网络的地理空间布局、关键词共现网络以及随时间演变的作者合作网络。
在研究期间，共发表了996篇ADNI相关手稿，分布在233种期刊和会议论文集中。从2008年到2015年，出版物数量呈线性增长，参与机构的数量也如此。ADNI出版物获得的引用远多于同一组期刊中的典型论文。合作在多个层面进行了可视化展示，包括作者、机构和研究领域。还绘制了研究期间ADNI关键研究主题的演变情况。
统计和可视化结果均表明，ADNI研究受到越来越多的关注，ADNI出版物具有很强的引用影响力，研究人员、机构和ADNI核心领域之间的合作网络不断扩大，以及ADNI研究主题的动态演变。这里展示的可视化有助于基于对现有模式和趋势的深入理解，利用经过验证且可重复的数据分析和可视化方法改进日常决策。它们具有很大潜力，可为阿尔茨海默病的转化研究提供新的见解和可操作的知识。
