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研究编织:可视化研究综合的未来。

Research Weaving: Visualizing the Future of Research Synthesis.

机构信息

Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia; Diabetes and Metabolism Division, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, Sydney, NSW 2010, Australia.

Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia.

出版信息

Trends Ecol Evol. 2019 Mar;34(3):224-238. doi: 10.1016/j.tree.2018.11.007. Epub 2018 Dec 20.

DOI:10.1016/j.tree.2018.11.007
PMID:30580972
Abstract

We propose a new framework for research synthesis of both evidence and influence, named research weaving. It summarizes and visualizes information content, history, and networks among a collection of documents on any given topic. Research weaving achieves this feat by combining the power of two methods: systematic mapping and bibliometrics. Systematic mapping provides a snapshot of the current state of knowledge, identifying areas needing more research attention and those ready for full synthesis. Bibliometrics enables researchers to see how pieces of evidence are connected, revealing the structure and development of a field. We explain how researchers can use some or all of these tools to gain a deeper, more nuanced understanding of the scientific literature.

摘要

我们提出了一个新的证据和影响综合研究框架,名为研究编织。它总结和可视化了关于任何给定主题的一系列文献的信息内容、历史和网络。研究编织通过结合两种方法的力量来实现这一壮举:系统制图和文献计量学。系统制图提供了当前知识状态的快照,确定了需要更多研究关注的领域和那些准备进行全面综合的领域。文献计量学使研究人员能够看到证据是如何连接的,揭示了一个领域的结构和发展。我们解释了研究人员如何使用这些工具中的一些或全部来更深入、更细致地了解科学文献。

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Research Weaving: Visualizing the Future of Research Synthesis.研究编织:可视化研究综合的未来。
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Knowledge synthesis research: a bibliometric analysis.知识综合研究:一项文献计量分析。
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Scientific literature on carbon dioxide removal revealed as much larger through AI-enhanced systematic mapping.通过人工智能增强的系统映射发现,关于二氧化碳去除的科学文献要多得多。
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Respiratory Vaccines in Older Adults: A Bibliometric Analysis and Future Research Agenda.
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