In order to improve individual research achievements (IRA), this study investigates which affiliated countries and authors earn the most cited IRAs and whether those types of articles are associated with the number of cited papers on schizophrenia from a leading journal in the field. The Kano model was used for displaying the IRAs. Clusters of medical subject headings (MeSH) were applied to explore the core concepts of a given journal. This study aimed to apply social network analysis (SNA) and an authorship-weighted scheme (AWS) to inspect the association between MeSH terms and IRA. About 2,008 abstracts published between 2012 and 2016 in the journal Schizophrenia Research were downloaded from Pubmed Central using the keyword (Schizophr Res)[Journal] on September 20, 2018. The MeSH terms were clustered by using SNA to separate the core concepts and compare the differences in bibliometric indices (i.e., h, Ag, x and author impact factor or AIF). Visual dashboards were shown on Google Maps. Results indicate that (1) the US, the UK, and Canada earn the highest x-index; (2) the top one author from the US has the highest x-index (= 5.73 with x-core at cited = 16.44 and citable = 2); (3) the article type of schizophrenic psychology shows distinctly higher frequencies than others; and (4) article types are associated with the number of cited papers. Four approaches of the Kano model, SNA, MeSH terms, and AWS can be accommodated to display IRAs, classify article types, and quantify coauthor contributions in the article byline, respectively, and applied to other scientific disciplines in the future, not just in this specific journal.

中文翻译：

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使用 Kano 模型显示精神分裂症研究中被引用次数最多的作者和附属国家

为了提高个人研究成果 (IRA)，本研究调查了哪些附属国家和作者获得的 IRA 引用最多，以及这些类型的文章是否与该领域领先期刊关于精神分裂症的被引用论文数量相关。Kano 模型用于显示 IRA。应用医学主题标题集群 (MeSH) 来探索给定期刊的核心概念。本研究旨在应用社交网络分析 (SNA) 和作者权重方案 (AWS) 来检查 MeSH 术语与 IRA 之间的关联。2018 年 9 月 20 日，使用关键字 (Schizophr Res)[Journal] 从 Pubmed Central 下载了 2012 年至 2016 年间发表在《精神分裂症研究》杂志上的大约 2,008 篇摘要。MeSH 术语通过使用 SNA 进行聚类，以分离核心概念并比较文献计量指标（即 h、Ag、x 和作者影响因子或 AIF）的差异。视觉仪表板显示在 Google 地图上。结果表明：（1）美国、英国和加拿大的x指数最高；(2) 来自美国的前一位作者的 x-index 最高（= 5.73，x-core at 被引 = 16.44，可引 = 2）；(3)精神分裂症心理学文章类型的频率明显高于其他类型；(4) 文章类型与被引论文数相关。Kano 模型、SNA、MeSH 术语和 AWS 四种方法可分别用于显示 IRA、分类文章类型和量化文章署名中的合著者贡献，并在未来应用于其他科学学科，