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

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. Th...

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Autores principales: Eslami, Omid, Nakhaie, Mohsen, Rezaei Zadeh Rukerd, Mohammad, Azimi, Maryam, Shahabi, Ellahe, Honarmand, Amin, Khazaneha, Mahdiyeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439832/
https://www.ncbi.nlm.nih.gov/pubmed/37600599
http://dx.doi.org/10.1155/2023/8856736
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author Eslami, Omid
Nakhaie, Mohsen
Rezaei Zadeh Rukerd, Mohammad
Azimi, Maryam
Shahabi, Ellahe
Honarmand, Amin
Khazaneha, Mahdiyeh
author_facet Eslami, Omid
Nakhaie, Mohsen
Rezaei Zadeh Rukerd, Mohammad
Azimi, Maryam
Shahabi, Ellahe
Honarmand, Amin
Khazaneha, Mahdiyeh
author_sort Eslami, Omid
collection PubMed
description 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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spelling pubmed-104398322023-08-20 Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study Eslami, Omid Nakhaie, Mohsen Rezaei Zadeh Rukerd, Mohammad Azimi, Maryam Shahabi, Ellahe Honarmand, Amin Khazaneha, Mahdiyeh Glob Health Epidemiol Genom Research Article 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. Hindawi 2023-08-12 /pmc/articles/PMC10439832/ /pubmed/37600599 http://dx.doi.org/10.1155/2023/8856736 Text en Copyright © 2023 Omid Eslami et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Eslami, Omid
Nakhaie, Mohsen
Rezaei Zadeh Rukerd, Mohammad
Azimi, Maryam
Shahabi, Ellahe
Honarmand, Amin
Khazaneha, Mahdiyeh
Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study
title Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study
title_full Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study
title_fullStr Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study
title_full_unstemmed Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study
title_short Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study
title_sort global trend on machine learning in helicobacter within one decade: a scientometric study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439832/
https://www.ncbi.nlm.nih.gov/pubmed/37600599
http://dx.doi.org/10.1155/2023/8856736
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