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首页> 外文期刊>Journal of Thoracic Disease >The top 2,000 cited articles in critical care medicine: a bibliometric analysis
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The top 2,000 cited articles in critical care medicine: a bibliometric analysis

机译:重症监护医学中被引用次数最多的2,000篇文章:文献计量分析

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Background: The bibliometric analysis has been performed on several topics in critical care medicine (CCM) focusing on top 100 cited articles, but the analysis on CCM literature as a whole is missing. The present study aimed to perform a complete bibliometric analysis in the field of CCM. Methods: An electronic search of the Scopus database was performed on Feb 13, 2018. The search strategy involved core terms related to CCM. The top 2,000 most cited articles in the field of CCM were included in the analysis. Descriptive statistics on these top-cited articles, country distributions, and journals are reported. Individual author’s productivity was assessed with the Lotka’s law. Co-occurrence of keywords was visualized with the Fruchterman-Reingold layout. The Walktrap algorithm was employed for clustering analysis. Results: A total of 2,000 documents were included in the analysis with median citations of 386 times [interquartile range (IQR): 308–562 times]. The most cited article was the original paper that described the Acute Physiology and Chronic Health Evaluation (APACHE) II score. The included articles were published in 411 journals. The median number of documents published in one journal was 1, and the mean number was 4.9, indicating a skewed distribution. The maximum number of publications was 217 in CCM. Author’s productivity profile was significantly different from the Lotka’s law (P=0.001), with n and C values of 2.8 and 0.52, respectively. Fruchterman-Reingold network plot showed that studies involving human subject were the most common literature type. Sepsis was a major research topic that co-occurred with keywords such as disease severity, nonhuman, risk assessment and practice guideline. Conclusions: The study performed bibliometric analyses of 2,000 top-cited articles in CCM. The most cited article was the one which developed the APACHE II score. Author’s productivity was significantly different from the Lotka’s law.
机译:背景:文献计量学分析已在重症医学(CCM)的多个主题上进行,重点是被引用的前100篇文章,但总体上缺少对CCM文献的分析。本研究旨在在CCM领域进行完整的文献计量分析。方法:2018年2月13日对Scopus数据库进行了电子搜索。搜索策略涉及与CCM相关的核心术语。分析包括CCM领域中被引用次数最多的2,000篇文章。报告了有关这些热门文章,国家/地区分布和期刊的描述性统计数据。个别作者的生产力是根据洛特卡法则(Lotka's law)评估的。通过Fruchterman-Reingold布局可以直观地看到关键字的同时出现。 Walktrap算法用于聚类分析。结果:分析中总共包含2,000个文档,中位数引用为386次[四分位间距(IQR):308–562次]。被引用最多的文章是描述急性生理和慢性健康评估(APACHE)II分数的原始论文。收录的文章发表在411种期刊上。一本期刊中发表的文档的中位数为1,平均数为4.9,表明分布偏斜。 CCM中的最大出版物数量为217。作者的生产力概况与洛特卡法则(P = 0.001)显着不同,n和C值分别为2.8和0.52。 Fruchterman-Reingold网络图表明,涉及人类主题的研究是最常见的文学类型。脓毒症是与疾病严重程度,非人类,风险评估和实践指南等关键字共同出现的主要研究主题。结论:这项研究对CCM中2,000篇热门文章进行了文献计量分析。被引用最多的文章是开发APACHE II评分的文章。作者的生产力与洛特卡法则大不相同。

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