Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study.

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Omid Eslami, Mohsen Nakhaie, Mohammad Rezaei Zadeh Rukerd, Maryam Azimi, Ellahe Shahabi, Amin Honarmand, Mahdiyeh Khazaneha
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引用次数: 1

Abstract

Purpose: This study aims to create a science map, provide structural analysis, investigate evolution, and identify new trends in Helicobacter pylori (H. pylori) research articles.

Methods: All Helicobacter publications were gathered from the Web of Science (WoS) database from August 2010 to 2021. The data were required for bibliometric analysis. The bibliometric analysis was performed with Bibliometrix R Tool. Bibliometric data were analyzed using the Bibliometrix Biblioshiny R-package software.

Results: A total of 17,413 articles were reviewed and analyzed, with descriptive characteristics of the H. pylori literature included. In journals, 21,102 keywords plus and 20,490 author keywords were reported. These articles were also written by 56,106 different authors, with 262 being single-author articles. Most authors' abstracts, titles, and keywords included "Helicobacter-pylori." Since 2010, the total number of H. pylori-related publications has been decreasing. Gut, PLOS ONE, and Gastroenterology are the most influential H. pylori journals, according to source impact. China, the United States, and Japan are the countries with most affiliations and subjects. In addition, Seoul National University has published the most articles about H. pylori. According to the cloud word plot, the authors' most frequently used keywords are gastric cancer (GC), H. pylori, gastritis, eradication, and inflammation. "Helicobacter pylori" and "infection" have the steepest slopes in terms of the upward trend of words used in articles from 2010 to 2021. Subjects such as GC, intestinal metaplasia, epidemiology, peptic ulcer, eradication, and clarithromycin are included in the diagram's motor theme section, according to strategic diagrams. According to the thematic evolution map, topics such as Helicobacter pylori infection, B-cell lymphoma, CagA, Helicobacter pylori, and infection were largely discussed between 2010 and 2015. From 2016 to 2021, the top topics covered included Helicobacter pylori, H. pylori infection, and infection.

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十年内螺杆菌机器学习的全球趋势:一项科学计量学研究。
目的:建立幽门螺杆菌(Helicobacter pylori, h.p ylori)的科学图谱,提供结构分析,研究演变,并确定新的趋势。方法:收集2010年8月至2021年Web of Science (WoS)数据库中有关幽门螺杆菌的所有出版物。文献计量学分析需要这些数据。文献计量学分析采用Bibliometrix R Tool进行。文献计量学数据采用Bibliometrix Biblioshiny R-package软件进行分析。结果:共回顾和分析了17413篇文献,包括幽门螺杆菌文献的描述性特征。在期刊中,报告了21,102个关键词+和20,490个作者关键词。这些文章也由56106位不同的作者撰写,其中262位是单作者文章。大多数作者的摘要、标题和关键词都包含“幽门螺杆菌”。自2010年以来,幽门螺杆菌相关出版物的总数一直在减少。根据来源影响,Gut、PLOS ONE和Gastroenterology是最具影响力的幽门螺杆菌期刊。中国、美国和日本是隶属关系和主体最多的国家。此外,首尔大学发表的有关幽门螺杆菌的文章最多。根据云词图,作者使用频率最高的关键词是胃癌(GC)、幽门螺杆菌、胃炎、根除和炎症。从2010年到2021年,“幽门螺杆菌”和“感染”的上升趋势最为明显。根据战略图,GC、肠化生、流行病学、消化性溃疡、根除和克拉霉素等主题包括在图表的运动主题部分。根据主题演变图,2010年至2015年间,人们对幽门螺杆菌感染、b细胞淋巴瘤、CagA、幽门螺杆菌和感染等主题进行了大量讨论。从2016年到2021年,最热门的话题包括幽门螺杆菌、幽门螺杆菌感染和感染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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