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The use of forest plot to identify article similarity and differences in characteristics between journals using medical subject headings terms

机译:使用森林图来识别使用医学主题标题术语的文章相似性和差异

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Background: Comparison of similarity and difference in research types among journals are concerned in literature. However, to date, none display the methodology seen in selecting similar journals related to the target journal, as similar articles did to a given article. Authors need 1 effective method not only to find similar journals for their studies but also to know the difference in methods. This study (1) shows the similar journals for the target journal online displayed, and (2) identifies the effect of similarity odds ratio compared to the counterparts using the forest plots in Meta-analysis and the major medical subject headings (MeSH terms). Methods:We downloaded 1000 recent top 20 most similar articles related to the Respiratory Care journal from the PubMed library, plotted the clusters of related journals using social network analysis (SNA), and compared the MeSH terms in differences in an odds ratio unit using the forest plot relevant to Respiratory Care and the most similar journals. Q statistic and I-square (I 2 ) index were used to evaluate the difference in the proportion of events. Results: This study found that (1) the journals related to Respiratory Care are easily presented on Google Maps; (2) 10 journal clusters were identified using SNA; (3) the top 3 MeSH terms are methods, therapy, and physiopathology, and (4) the odds ratios of MeSH terms between journals associated with the Respiratory Care showing different from Int J Chron Obstruct Pulmori Dis and similar to Curr Opin Endocrinol Diabetes Obes within heterogeneity with I 2 = 70.5% (P0.001) and 0% (P = 0.803), respectively. Conclusions: SNA and forest plots provide deep insight into the relationships between journals in MeSH terms. The results of this research can provide readers with a concept diagram that can be used for future submissions to a given journal. Abbreviations: MESH = medical subject headings, SNA = social network analysis, VBA = visual basic for application.
机译:背景:期刊中研究类型的相似性和差异的比较涉及文学。但是,迄今为止,没有显示在选择与目标期刊相关的类似期刊时所看到的方法,因为对给定的文章所做的类似文章。作者需要1个有效的方法,不仅要查找类似的学习期刊,还要了解方法的差异。本研究(1)显示了显示目标期刊在线显示的类似期刊,并且(2)与使用Meta-Analysis和主要医疗主题标题(网格术语)的森林地块相比,识别与对应物相比的相似性差距的效果。方法:我们下载了从PubMed图书馆下载了1000个与呼吸护理日志相关的最近20个与呼吸护理期刊相关的文章,使用社交网络分析(SNA)绘制相关期刊的集群,并将网格术语与使用的差异单位的差异进行比较森林情节与呼吸护理和最相似的期刊相关。 Q统计和I-Square(I 2)索引用于评估事件比例的差异。结果:本研究发现(1)与呼吸护理相关的期刊很容易介绍Google地图; (2)使用SNA确定10个杂志; (3)前3种网格术语是方法,治疗和生理疗学,(4)与呼吸护理相关的期刊之间的网格术语的几率比,显示与int J chron梗阻普拉莫里DIS不同,类似于Currinoclinol糖尿病eBET在二均匀性中,I 2 = 70.5%(P <0.001)和0%(P = 0.803)。结论:SNA和森林地块在网格条款中深入了解期刊之间的关系。该研究的结果可以为读者提供一个概念图,可用于将来提交给给定的日记。缩写:网格=医疗主题标题,SNA =社交网络分析,VBA = Visual Basic进行应用。

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