Department of Urology, The First Hospital of China Medical University, Shenyang, Liaoning, China (mainland).
Joint Laboratory of Artificial Intelligence and Precision Medicine of China Medical University And Northeastern University, Shenyang, Liaoning, China (mainland).
Med Sci Monit. 2018 Nov 20;24:8357-8371. doi: 10.12659/MSM.913644.
BACKGROUND SIRT6 is a molecule of significant interest in the field of epigenetics. This review of the literature aimed to explore research hotspots and other bibliometric features of SIRT6 by applying several bibliometric analysis tools and by establishing a comprehensive scientometric analysis model of SIRT6. MATERIAL AND METHODS The research sample included 441 articles related to SIRT6 obtained from the Web of Science core collection. Bicomb software was used to extract high frequency keywords, and then a binary matrix and a co-word matrix were constructed. We used Gcluto for double clustering, EXCEL for strategic coordinate building, Citespace software for co-citation analysis, CitNetExplorer for citation analysis, and Vosviewer for journal and term analysis. RESULTS Research hotspots and the base knowledge of SIRT6 were determined by co-word and co-citation network analysis. The strategic coordinates approach was used to assess the research prospects of each hotspot and the connections between these hotspots. The distribution of disciplines and journals was determined and both a term density map and a dual-map were constructed by application of different tools. CONCLUSIONS SIRT6's regulation of chromatin, lifespan, DNA damage, and metabolism make up the most important SIRT6 intellectual basis from the past 10 years. SIRT6 study has concentrated on the effects of this molecule on tumors and shown promising trends in understanding neural diseases. However, there has been little analysis of how SIRT6 effects are part of more complex systems. Work by Motoslavsky (2006) represents a milestone in SIRT6 research, and the studies by Kawahara 2009 and Kim 2010 are key in the knowledge transmission of SIRT6 research.
背景:SIRT6 是表观遗传学领域中一个备受关注的分子。本文献综述旨在通过应用多种文献计量分析工具,构建 SIRT6 的综合科学计量分析模型,探索 SIRT6 的研究热点和其他文献计量特征。
材料与方法:研究样本包括从 Web of Science 核心合集获取的 441 篇与 SIRT6 相关的文章。Bicomb 软件用于提取高频关键词,然后构建二进制矩阵和共词矩阵。我们使用 Gcluto 进行双聚类,使用 EXCEL 构建战略坐标,使用 Citespace 软件进行共引分析,使用 CitNetExplorer 进行引文分析,使用 Vosviewer 进行期刊和术语分析。
结果:通过共词和共被引网络分析确定了 SIRT6 的研究热点和基础知识。战略坐标方法用于评估每个热点的研究前景以及这些热点之间的联系。通过应用不同的工具确定了学科和期刊的分布,并构建了术语密度图和双图。
结论:SIRT6 对染色质、寿命、DNA 损伤和代谢的调节构成了过去 10 年中 SIRT6 最重要的知识基础。SIRT6 的研究集中在该分子对肿瘤的影响上,并在理解神经疾病方面显示出有希望的趋势。然而,对于 SIRT6 如何影响更复杂的系统,几乎没有分析。Motoslavsky(2006)的工作代表了 SIRT6 研究的一个里程碑,而 Kawahara(2009)和 Kim(2010)的研究是 SIRT6 研究知识传播的关键。
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