Department of Nutrition, Chi Mei Medical Center, Tainan, Taiwan.
Department of Nutrition and Health Sciences, Chang Jung Christian University, Tainan, Taiwan.
Medicine (Baltimore). 2022 Nov 11;101(45):e31609. doi: 10.1097/MD.0000000000031609.
The Hirsch-index (h-index) is a measure of academic productivity that incorporates both the quantity and quality of an author's output. However, it is still affected by self-citation behaviors. This study aims to determine the research output and self-citation rates (SCRs) in the Journal of Medicine (Baltimore), establishing a benchmark for bibliometrics, in addition to identifying significant differences between stages from 2018 to 2021.
We searched the PubMed database to obtain 17,912 articles published between 2018 and 2021 in Medicine (Baltimore). Two parts were carried out to conduct this study: the categories were clustered according to the medical subject headings (denoted by midical subject headings [MeSH] terms) using social network analysis; 3 visualizations were used (choropleth map, forest plot, and Sankey diagram) to identify dominant entities (e.g., years, countries, regions, institutes, authors, categories, and document types); 2-way analysis of variance (ANOVA) was performed to differentiate outputs between entities and stages, and the SCR with articles in Medicine (Baltimore) was examined. SCR, as well as the proportion of self-citation (SC) in the previous 2 years in comparison to SC were computed.
We found that South Korea, Sichuan (China), and Beijing (China) accounted for the majority of articles in Medicine (Baltimore); ten categories were clustered and led by 3 MeSh terms: methods, drug therapy, and complications; and more articles (52%) were in the recent stage (2020-2021); no significant difference in counts was observed between the 2 stages based on the top ten entities using the forest plot (Z = 0.05, P = .962) and 2-way ANOVA (F = 0.09, P = .76); the SCR was 5.69% (<15%); the h-index did not differ between the 2 collections of self-citation inclusion and exclusion; and the SC in the previous 2 years accounted for 70% of the self-citation exclusion.
By visualizing the characteristics of a given journal, a breakthrough was made. Subject categories can be classified using MeSH terms. Future bibliographical studies are recommended to perform the 2-way ANOVA and then compare the outputs from 2 stages as well as the changes in h-indexes between 2 sets of self-citation inclusion and exclusion.
Hirsch 指数（h-index）是一种衡量学术产出的方法，它结合了作者产出的数量和质量。然而，它仍然受到自引行为的影响。本研究旨在确定《巴尔的摩医学杂志》（Journal of Medicine（Baltimore））的研究产出和自引率（SCR），为文献计量学建立基准，并确定 2018 年至 2021 年各阶段之间的显著差异。
我们在 PubMed 数据库中检索了 2018 年至 2021 年期间发表在《巴尔的摩医学杂志》（Medicine（Baltimore））上的 17912 篇文章。本研究分两部分进行：使用社会网络分析按医学主题词（MeSH 术语）对类别进行聚类；使用 3 种可视化方法（区域图、森林图和桑基图）识别主要实体（如年份、国家、地区、机构、作者、类别和文件类型）；使用双向方差分析（ANOVA）来区分实体和阶段之间的产出，并检查《巴尔的摩医学杂志》（Medicine（Baltimore））中的文章的 SCR。计算 SCR 以及与前两年自引（SC）的比例。
我们发现，韩国、中国四川和北京占《巴尔的摩医学杂志》（Medicine（Baltimore））文章的大部分；10 个类别聚类，由 3 个 MeSH 术语主导：方法、药物治疗和并发症；更多的文章（52%）来自最近的阶段（2020-2021 年）；基于前 10 个实体的森林图（Z=0.05，P=0.962）和双向 ANOVA（F=0.09，P=0.76），两个阶段之间的计数没有显著差异；SCR 为 5.69%（<15%）；纳入和排除自我引用集之间的 h 指数没有差异；前两年的 SC 占自我引用排除的 70%。
通过可视化给定期刊的特征，取得了突破。可以使用 MeSH 术语对主题类别进行分类。建议未来的文献研究进行双向 ANOVA，然后比较两个阶段的产出以及两个自我引用纳入和排除集之间的 h 指数变化。
