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运用桑基图可视化 2012 年以来全外显子组测序(WES)和全基因组测序(WGS)主题的文章特征:文献计量分析。

Using the Sankey diagram to visualize article features on the topics of whole-exome sequencing (WES) and whole-genome sequencing (WGS) since 2012: Bibliometric analysis.

机构信息

Department of Pediatrics, National Taiwan University Hsin-Chu Hospital, Hsinchu, Taiwan.

Department of Biological Science and Technology, College of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.

出版信息

Medicine (Baltimore). 2022 Sep 23;101(38):e30682. doi: 10.1097/MD.0000000000030682.

Abstract

BACKGROUND

Sequencing technologies, such as whole-exome sequencing (WES) and whole-genome sequencing (WGS), have been increasingly applied to medical research in recent years. Which countries, journals, and institutes (called entities) contributed most to the fields (WES/WGS) remains unknown. Temporal bar graphs (TBGs) are frequently used in trend analysis of publications. However, how to draw the TBG on the Sankey diagram is not well understood in bibliometrics. We thus aimed to investigate the evolution of article entities in the WES/WGS fields using publication-based TBGs and compare the individual research achievements (IRAs) among entities.

METHODS

A total of 3599 abstracts downloaded from icite analysis were matched to entities, including article identity numbers, citations, publication years, journals, affiliated countries/regions of origin, and medical subject headings (MeSH terms) in PubMed on March 12, 2022. The relative citation ratio (RCR) was extracted from icite analysis to compute the hT index (denoting the IRA, taking both publications and citations into account) for each entity in the years between 2012 and 2021. Three types of visualizations were applied to display the trends of publications (e.g., choropleth maps and the enhanced TBGs) and IRAs (e.g., the flowchart on the Sankey diagram) for article entities in WES/WGS.

RESULTS

We observed that the 3 countries (the US, China, and the UK) occupied most articles in the WES/WGS fields since 2012, the 3 entities (i.e., top 5 journals, research institutes, and MeSH terms) were demonstrated on the enhanced TBGs, the top 2 MeSH terms were genetics and methods in WES and WGS, and the IRAs of 6 article entities with their hT-indices were succinctly and simultaneously displayed on a single Sankey diagram that was never launched in bibliographical studies.

CONCLUSION

The number of WES/WGS-related articles has dramatically increased since 2017. TBGs, particularly with hTs on the Sankey, are recommended for research on a topic (or in a discipline) to compare trends of publications and IRAs for entities in future bibliographical studies.

摘要

背景

近年来,测序技术(如全外显子组测序[WES]和全基因组测序[WGS])已越来越多地应用于医学研究。哪些国家、期刊和机构(称为实体)对这些领域(WES/WGS)的贡献最大尚不清楚。时间条形图(TBG)常用于出版物的趋势分析。然而,在文献计量学中,如何在桑基图上绘制 TBG 尚不清楚。因此,我们旨在使用基于出版物的 TBG 研究 WES/WGS 领域中文章实体的演变,并比较实体之间的个体研究成果(IRA)。

方法

我们于 2022 年 3 月 12 日从 icite 分析中下载了 3599 篇摘要,并将其与实体匹配,包括文章身份号码、引用、出版年份、期刊、来源国/地区以及 PubMed 中的医学主题词(MeSH 术语)。从 icite 分析中提取相对引文比(RCR),以计算每个实体在 2012 年至 2021 年之间的 hT 指数(表示 IRA,同时考虑出版物和引用)。我们应用了 3 种可视化方法来显示 WES/WGS 文章实体的出版物趋势(例如,专题地图和增强 TBG)和 IRA(例如,桑基图上的流程图)。

结果

我们观察到,自 2012 年以来,3 个国家(美国、中国和英国)在 WES/WGS 领域占据了大多数文章,3 个实体(即前 5 名期刊、研究所和 MeSH 术语)在增强的 TBG 上得到了展示,前 2 个 MeSH 术语是 WES 和 WGS 中的遗传学和方法,6 个文章实体的 IRA 及其 hT 指数简洁而同时显示在单个桑基图上,该图在文献研究中从未发布过。

结论

自 2017 年以来,WES/WGS 相关文章的数量急剧增加。在未来的文献研究中,TBG,特别是带有 Sankey 上 hT 的 TBG,建议用于研究主题(或学科),以比较实体的出版物趋势和 IRA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b399/9509026/5b08f0a1480f/medi-101-e30682-g001.jpg

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