or = 5), pairs of co-cited references were created and grouped into uniformly structured clusters of documents using a single linkage and variable level clustering method. In addition, for each such cluster of documents, we identified corresponding front papers published in 2003, each of which co-cited at least two documents of the cluster core. Active anesthetic research fields were then named by examining the titles of the documents in both the established clusters and in their corresponding front papers. These research fields were sorted according to the proportion of recent documents in their cluster core (immediacy index) and were further analyzed. RESULTS:Forty-six current anesthetic research fields were identified. The research field named "ProSeal laryngeal mask airway" showed the highest immediacy index (100%) whereas the research fields "Experimental models of neuropathic pain" and "Volatile anesthetic-induced cardioprotection" exhibited the highest level of co-citation strength (level 9). The research field with the largest cluster core, containing 12 homogeneous papers, was "Postoperative nausea and vomiting." The journal Anesthesia & Analgesia published most front papers while Anesthesiology published most of the fundamental documents used as references in the front papers. CONCLUSIONS:Using co-citation analysis, we identified distinct homogenous clusters of highly cited documents representing 46 active current anesthetic research fields and determined multiple nets of knowledge among them. " />

BACKGROUND:The expansion of science has resulted in an increased information flow and in an exponentially growing number of connections between knowledge in different research fields. In this study, we used methods of scientometric analysis to obtain a conceptual network that forms the structure of active scientific research fields in anesthesia. METHODS:We extracted from the Web of Science (Institute for Scientific Information) all original articles (n = 3275) including their references (n = 79,972) that appeared in 2003 in all 23 journals listed in the Institute for Scientific Information Journal Citation Reports under the subject heading "Anesthesiology." After identification of highly cited references (> or = 5), pairs of co-cited references were created and grouped into uniformly structured clusters of documents using a single linkage and variable level clustering method. In addition, for each such cluster of documents, we identified corresponding front papers published in 2003, each of which co-cited at least two documents of the cluster core. Active anesthetic research fields were then named by examining the titles of the documents in both the established clusters and in their corresponding front papers. These research fields were sorted according to the proportion of recent documents in their cluster core (immediacy index) and were further analyzed. RESULTS:Forty-six current anesthetic research fields were identified. The research field named "ProSeal laryngeal mask airway" showed the highest immediacy index (100%) whereas the research fields "Experimental models of neuropathic pain" and "Volatile anesthetic-induced cardioprotection" exhibited the highest level of co-citation strength (level 9). The research field with the largest cluster core, containing 12 homogeneous papers, was "Postoperative nausea and vomiting." The journal Anesthesia & Analgesia published most front papers while Anesthesiology published most of the fundamental documents used as references in the front papers. CONCLUSIONS:Using co-citation analysis, we identified distinct homogenous clusters of highly cited documents representing 46 active current anesthetic research fields and determined multiple nets of knowledge among them.

译文

背景:科学的发展导致信息流增加,不同研究领域的知识之间的联系呈指数增长。在这项研究中,我们使用了科学计量分析的方法来获得一个概念网络,该网络形成了麻醉领域活跃的科研领域的结构。
方法:我们从Web of Science(科学信息研究所)中提取了所有原始文章(n = 3275),包括其参考文献(n = 79,972),这些文章出现在2003年在《科学信息研究所期刊引文报告》下列出的所有23种期刊中主题为“麻醉学”。在识别出高引用的参考文献(>或= 5)之后,使用单链接和可变级别聚类方法创建成对的同被引用参考文献,并将其分组为结构统一的文档簇。另外,对于每个这样的文档集群,我们确定了2003年发布的相应的前文,其中每篇都共同引用了该集群核心的至少两个文档。然后,通过检查已建立的集群及其相应的前文中文件的标题来命名活跃的麻醉研究领域。这些研究领域根据其集群核心中的最新文献的比例(即时指数)进行分类,并进行了进一步分析。
结果:目前已确定了46种麻醉药研究领域。名为“ ProSeal喉罩气道”的研究领域具有最高的即时指数(100%),而“神经病理性疼痛的实验模型”和“挥发性麻醉药诱导的心脏保护”研究领域表现出最高的共被引强度(9级) )。簇状核最大的研究领域是“术后恶心和呕吐”,其中包含12篇同类论文。 《麻醉与镇痛》杂志发表了大多数前期论文,而《麻醉学》则发表了用作前篇论文参考的大多数基本文献。
结论:使用共引分析法,我们鉴定了代表46个活跃的当前麻醉研究领域的,被高度引用的文献的不同同质簇,并在其中确定了多个知识网络。

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