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幽门螺杆菌研究中最具影响力的文章:文献计量分析。

The most influential articles in Helicobacter pylori research: A bibliometric analysis.

机构信息

Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea.

Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Korea.

出版信息

Helicobacter. 2019 Aug;24(4):e12589. doi: 10.1111/hel.12589. Epub 2019 Apr 29.


DOI:10.1111/hel.12589
PMID:31033071
Abstract

OBJECTIVE: The number of articles that researchers must be familiar with is increasing, along with the importance of selective searching and summarization. This study aimed to assess and characterize the most influential articles in Helicobacter pylori research. METHODS: We performed a search of the top-100 cited articles using the Web of Science Core Collection (WoSCC) and Google Scholar from their inception to 2018. The top-100 Altmetric Attention Score (AAS) articles based on online media mentions were also searched using the term H pylori. Each article was evaluated for the following characteristics: citation number, title, journal, publication year, and authorship. RESULTS: The citation number for the top-100 WoSCC articles ranged from 44 to 367. Gut published the largest number of articles (11%). In the top-100 Google Scholar articles, Lancet had the largest number of articles (13%); however, among the top-1000 cited articles published after 2012, Helicobacter published the largest number (46%). The largest number of top-100 AAS articles was published by PLOS Pathogens (6%). PubMed Central articles' citations in WoSCC or Google Scholar showed significant correlation with those from each metric; however, AAS showed no correlation. The proportion of basic research was 36%-37% in top-cited articles; but, 52% in the top-100 AAS articles. No time trend in the number of publications or citations of basic/clinical research in the top-100 bibliometrics was found. "Meta-analysis/systematic review," "gastric cancer," "eradication," and "association" were the most influential title words. CONCLUSION: This study presents a detailed list of top-100 articles, journals, authors, and topic title words.

摘要

目的:随着研究人员必须熟悉的文章数量的增加,选择性搜索和总结的重要性也越来越大。本研究旨在评估和描述幽门螺杆菌研究中最有影响力的文章。

方法:我们使用 Web of Science 核心合集(WoSCC)和 Google Scholar 从其创立到 2018 年对排名前 100 的引用文章进行了搜索。还使用术语 H pylori 对基于在线媒体提及的排名前 100 的 Altmetric Attention Score (AAS) 文章进行了搜索。对每篇文章进行了以下特征评估:引用数量、标题、期刊、发表年份和作者。

结果:排名前 100 的 WoSCC 文章的引用数量从 44 到 367 不等。Gut 发表的文章数量最多(11%)。在排名前 100 的 Google Scholar 文章中,Lancet 发表的文章数量最多(13%);然而,在 2012 年后发表的前 1000 篇被引文章中,Helicobacter 发表的文章数量最多(46%)。排名前 100 的 AAS 文章数量最多的是 PLOS Pathogens(6%)。PubMed Central 文章在 WoSCC 或 Google Scholar 中的引用与来自每个指标的引用均呈显著相关;然而,AAS 则没有相关性。高被引文章中基础研究的比例为 36%-37%;但是,在排名前 100 的 AAS 文章中,这一比例为 52%。未发现前 100 项文献计量学出版物或基础/临床研究的引用数量的时间趋势。“荟萃分析/系统评价”、“胃癌”、“根除”和“关联”是最有影响力的标题词。

结论:本研究提供了一份详细的前 100 篇文章、期刊、作者和主题标题词列表。

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The most influential articles in Helicobacter pylori research: A bibliometric analysis.

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Brain Behav. 2025-6

[2]
A Bibliometric Review of the Top 100 Most Cited Articles in Hip Preservation, Not Counting Self-Citations.

Arthrosc Sports Med Rehabil. 2024-6-21

[3]
Use of artificial intelligence for the detection of infection from upper gastrointestinal endoscopy images: an updated systematic review and meta-analysis.

Ann Gastroenterol. 2024

[4]
Cross-talk between and gastric cancer: a scientometric analysis.

Front Cell Infect Microbiol. 2024

[5]
Diagnostic usefulness of deep learning methods for infection using esophagogastroduodenoscopy images.

JGH Open. 2023-11-13

[6]
Emerging trends and frontier research on recurrent implantation failure: a bibliometric analysis.

Ann Transl Med. 2022-3

[7]
The Top-Cited Articles With a Focus on Barrett's Esophagus: A Bibliometric Analysis.

Front Surg. 2022-2-17

[8]
Femoroacetabular Impingement and Labral Tear: From the Most Highly Cited Articles to Research Interests.

Orthop Surg. 2021-8

[9]
Meta-Analysis of Correlations between Altmetric Attention Score and Citations in Health Sciences.

Biomed Res Int. 2021

[10]
Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy.

J Med Internet Res. 2020-9-16

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