Bibliometrics and Visual Analysis of Stroke Genetics in the Genomics Era

doi:10.3969/j.issn.1673－5765.2023.03.004

Abstract

Abstract: Objective To explore the research status, hotspots, and trends in the field of stroke genetics and genomics according to bibliometric analysis on published literature since publication of the working draft of human genome.
Methods The last two period (from 2000 to the present) was divided into 3 stages based on representative genomic technologies, namely first-generation sequencing (2000—2007), whole-genome genotyping microarray (2008—2015), and next-generation sequencing (2016—now). All of the published literature (written in English) on cerebrovascular disease genetics and genomics were retrieved from core collection of Web of Science. Year of publication, country/area, and institution of the literature were summarized. VOSviewer 1.6.18 was used for statistical and visual analysis. The H-index was used to evaluate the quantity and the impact of the literature.
Results A total of 8833 English literature was included in this analysis. The United States was the main contributor to the literature on stroke genetics and genomics, and published 3291 articles with an H-index of 182, both ranking first in the quantity and H index of papers. China published 1765 papers with an H-index of 66, ranking second in the quantity and tenth in H-index. The International Stroke Genetics Consortium (ISGC) was an important contributor in this field of stroke genetics and genomics. ISGC and its principal directors ranked among the top 20 authors in the number of publications. The hotspots gradually shifted from association analysis and meta-analysis in the early stage to Mendelian randomization in recent years.
Conclusions In the field of stroke genetics and genomics, although our country started late, there is a trend of catching up in the total number of publications. Clinical and scientific researchers in China should strengthen domestic and international academic cooperation to further enhance the China’s influence in this field.

Key words: Stroke; Cerebrovascular disease; Genetics; Genomics; Bibliometrics

摘要： 目的对人类基因组工作草图公布以来卒中遗传学、基因组学领域已发表的论文进行文献计量学研究，分析该领域的研究现状、热点及发展趋势。
方法以一代测序（2000—2007年）、全基因组分型芯片（2008—2015年）和二代测序（2016年至今）为代表性技术，将2000年至今划分为3个阶段。在Web of Science核心合集检索脑血管病领域发表的遗传学、基因组学方面的英文文献，对文献的发表时间、地区、研究机构等信息进行汇总，使用VOSviewer 1.6.18进行统计分析并对结果进行可视化。使用H指数评估论文产出数量与论文水平。
结果共纳入8833篇英文文献。美国是卒中遗传学、基因组学领域文献的最主要贡献者，发文量高达3291篇，H指数为182，发文量和H指数在所有国家/地区中均居首位。中国发文1765篇，H指数为66，分别排名第2位和第10位。国际卒中遗传学联盟是该研究领域的重要参与者，联盟和主要负责人的发文量居所有作者的前20名。卒中遗传学、基因组学的研究热点从早期的关联分析和荟萃分析，逐步过渡到近几年兴起的孟德尔随机化研究。
结论在卒中遗传学、基因组学领域，我国虽然起步较晚，但在发文总量上有赶超的趋势。我国卒中相关的临床和科研人员应积极参与国内和国际学术合作，进一步提升我国在该领域的影响力。

关键词: 卒中; 脑血管病; 遗传学; 基因组学; 文献计量学

XU Zhe, CHENG Si, LIU Yang, SHI Yanfeng, MENG Xia, JIANG Yong, LI Hao.

Bibliometrics and Visual Analysis of Stroke Genetics in the Genomics Era

[J]. Chinese Journal of Stroke, 2023, 18(03): 254-265.

许喆, 程丝, 刘阳, 石延枫, 孟霞, 姜勇, 李昊. 基因组时代卒中遗传学研究的文献计量学及可视化分析[J]. 中国卒中杂志, 2023, 18(03): 254-265.

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