Department of Neurosurgery, Chi Mei Medical Center, Tainan, Taiwan.
Department of Optometry, Chung Hwa University of Medical Technology, Tainan, Taiwan.
Medicine (Baltimore). 2022 Nov 4;101(44):e31441. doi: 10.1097/MD.0000000000031441.
BACKGROUND: A common concern in the literature is the comparison of the similarities and differences between research journals, as well as the types of research they publish. At present, there are no clear methodologies that can be applied to a given article of interest. When authors use an effective and efficient method to locate journals in similar fields, they benefit greatly. By using the forest plot and major medical subject headings (MeSH terms) of Spine (Phila Pa 1976) compared to Spine J, this study: displays relatively similar journals to the target journal online and identifies the effect of the similarity odds ratio of Spine (Phila Pa 1976) compared to Spine J. METHODS: From the PubMed library, we downloaded 1000 of the most recent top 20 most similar articles related to Spine (Phila Pa 1976) and then plotted the clusters of related journals using social network analysis (SNA). The forest plot was used to compare the differences in MeSH terms for 2 journals (Spine (Phila Pa 1976) and Spine J) based on odds ratios. The heterogeneity of the data was evaluated using the Q statistic and the I-square (I2) index. RESULTS: This study shows that: the journals related to Spine (Phila Pa 1976) can easily be presented on a dashboard via Google Maps; 8 journal clusters were identified using SNA; the 3 most frequently searched MeSH terms are surgery, diagnostic imaging, and methods; and the odds ratios of MeSH terms only show significant differences with the keyword "surgery" between Spine (Phila Pa 1976) and Spine J with homogeneity at I2 = 17.7% (P = .27). CONCLUSIONS: The SNA and forest plot provide a detailed overview of the inter-journal relationships and the target journal using MeSH terms. Based on the findings of this research, readers are provided with knowledge and concept diagrams that can be used in future submissions to related journals.
背景：文献中一个常见的关注点是比较研究期刊之间的相似点和不同点，以及它们发表的研究类型。目前，没有明确的方法可以应用于感兴趣的特定文章。当作者使用有效和高效的方法来定位相似领域的期刊时，他们会受益匪浅。通过使用脊柱（费城 1976 年）的森林图和主要医学主题词（MeSH 术语）与 Spine J 进行比较，本研究：在线显示与目标期刊相对相似的期刊，并确定脊柱（费城 1976 年）与 Spine J 相比的相似性优势比的影响。
方法：从 PubMed 库中，我们下载了与脊柱（费城 1976 年）相关的前 20 篇最相似文章中最接近的 1000 篇文章，然后使用社会网络分析（SNA）绘制相关期刊的聚类图。森林图用于比较 2 种期刊（脊柱（费城 1976 年）和脊柱 J）的 MeSH 术语差异基于优势比。使用 Q 统计量和 I 平方（I2）指数评估数据的异质性。
结果：本研究表明：与脊柱（费城 1976 年）相关的期刊可以通过 Google 地图轻松地显示在仪表板上；使用 SNA 确定了 8 个期刊聚类；最常搜索的 3 个 MeSH 术语是手术、诊断成像和方法；并且 MeSH 术语的优势比仅显示 Spine（费城 1976 年）和 Spine J 之间与“手术”关键字的显著差异，异质性为 I2 = 17.7%（P =.27）。
结论：SNA 和森林图提供了使用 MeSH 术语的期刊间关系和目标期刊的详细概述。基于本研究的发现，为读者提供了可以在未来向相关期刊投稿时使用的知识和概念图。
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