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探索性文本分析自噬研究领域。

An exploratory text analysis of the autophagy research field.

机构信息

Department of Biochemistry and Molecular Biology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

出版信息

Autophagy. 2022 Jul;18(7):1648-1661. doi: 10.1080/15548627.2021.1995151. Epub 2021 Nov 23.

DOI:10.1080/15548627.2021.1995151
PMID:34812110
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9298454/
Abstract

After its discovery in the 1950 s, the autophagy research field has seen its annual number of publications climb from tens to thousands. The ever-growing number of autophagy publications is a wealth of information but presents a challenge to researchers, especially those new to the field, who are looking for a general overview of the field to, for example, determine current topics of the field or formulate new hypotheses. Here, we employed text mining tools to extract research trends in the autophagy field, including those of genes, terms, and topics. The publication trend of the field can be separated into three phases. The exponential rise in publication number began in the last phase and is most likely spurred by a series of highly cited research papers published in previous phases. The exponential increase in papers has resulted in a larger variety of research topics, with the majority involving those that are directly physiologically relevant, such as disease and modulating autophagy. Our findings provide researchers a summary of the history of the autophagy research field and perhaps hints of what is to come. 5Y-IF: 5-year impact factor; AIS: article influence score; EM: electron microscopy; HGNC: HUGO gene nomenclature committee; LDA: latent Dirichlet allocation; MeSH: medical subject headings; ncRNA: non-coding RNA.

摘要

自 20 世纪 50 年代发现以来,自噬研究领域的年出版物数量已从数十篇增加到数千篇。不断增长的自噬出版物数量是一个丰富的信息资源,但对研究人员来说也是一个挑战,尤其是那些刚接触该领域的人,他们希望获得该领域的概述,例如确定当前的研究主题或提出新的假设。在这里,我们使用文本挖掘工具提取自噬领域的研究趋势,包括基因、术语和主题。该领域的出版物趋势可以分为三个阶段。在最后一个阶段,出版物数量呈指数级增长,这很可能是由前几个阶段发表的一系列高引用研究论文推动的。论文数量的指数增长导致了更多种类的研究主题,其中大多数涉及与生理直接相关的主题,如疾病和调节自噬。我们的研究结果为研究人员提供了自噬研究领域的历史概述,也许还暗示了未来的发展方向。5Y-IF:5 年影响因子;AIS:文章影响力评分;EM:电子显微镜;HGNC:HUGO 基因命名委员会;LDA:潜在狄利克雷分配;MeSH:医学主题词;ncRNA:非编码 RNA。

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本文引用的文献

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