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Web of Science-based Co-citation Biclustering Analysis

机译:基于Web的共同引文聚类分析

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摘要

In this paper, co-citation biclustering analysis was proposed. Co-citation biclustering analysis was performed using the papers on nursing research covered in Web of Science as a source. Co-citation papers of highly cited and citing papers were clustered at the same time to explore the intellectual base and research front of nursing research. The result was visualized directly by gCluto. Co-citation biclustering analysis is more intuitive to guide researchers to understand the intellectual base and research front of certain subject and to concentrate limited energy to achieve a breakthrough in key areas.
机译:本文提出了共引双聚类分析。使用Web of Science涵盖的护理研究论文作为资料进行共引证双聚类分析。同时将高被引论文和引文的共引论文集中在一起,以探索护理研究的知识基础和研究前沿。通过gCluto直接可视化结果。共引双聚类分析更直观,可引导研究人员了解某些主题的知识基础和研究前沿,并集中有限的精力在关键领域取得突破。

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