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结核分枝杆菌再接种的科学计量分析:协作网络的动态、影响及分析

Scientometric analysis of Mycobacterium tuberculosis revaccination: Dynamics, impact and analysis of collaborative networks.

作者信息

Vieira Luis Roberto Checa, Dávila Aylén Solange Vásquez, Mayta-Tovalino Frank

机构信息

Department of Academic, School of Human Medicine, Universidad Cientifica del Sur, Lima, Peru.

Grupo de Bibliometría, Evaluación de Evidencia y Revisiones Sistemáticas (BEERS), Human Medicine Career, Universidad Científica del Sur, Lima, Peru, South America.

出版信息

Lung India. 2025 Jan 1;42(1):32-39. doi: 10.4103/lungindia.lungindia_433_24. Epub 2024 Dec 24.

DOI:10.4103/lungindia.lungindia_433_24
PMID:39718913
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11789948/
Abstract

BACKGROUND

Mycobacterium tuberculosis (M. tuberculosis) is an infectious disease that remains a significant global health problem. Despite efforts to reduce the disease, the disease remains prevalent in many parts of the world. This study aims to analyse the dynamics, impact and analysis of collaborative networks in revaccination against M. tuberculosis through a scientometric study in Scopus (2018-2024).

METHODS

This study is retrospective, descriptive and observational, and everything was carried out with a scientometric approach in which the unit of analysis was all publications in journals indexed in the Scopus database between 2018 and 2024, without language limitation. To collect the articles, an advanced search strategy was carried out in the Scopus database. Specific search criteria were defined using combinations of key terms such as 'revaccination' and 'M. tuberculosis', articulated through Boolean operators to optimize the relevance of the results.

RESULTS

The most productive institution was the University of Cape Town, while University College London had the highest citation impact. Frontiers in Immunology was the most productive journal, with Nature Communications having the highest citation count. The Hatherill Mark was the most prolific author with 17 publications, although the highest h-indexes did not necessarily correspond to the most productive authors. An increase in the number of publications was observed, peaking in 2020 at 52 publications. In terms of collaboration, strong networks were identified between countries such as the United States, the United Kingdom and China, with authors such as Hatherill Mark and Scriba Thomas J. occupying central positions in these networks.

CONCLUSIONS

This scientometric analysis highlights the growing interest in tuberculosis revaccination, with an increase in scientific production and international collaboration. However, the variability in the quality of publications emphasizes the need to promote high-quality research and innovative strategies to improve global health.

摘要

背景

结核分枝杆菌(M. tuberculosis)感染是一个仍然严重影响全球健康的问题。尽管人们努力减少该疾病,但它在世界许多地区仍然普遍存在。本研究旨在通过对Scopus(2018 - 2024年)数据库进行科学计量学研究,分析结核分枝杆菌再接种合作网络的动态、影响及分析情况。

方法

本研究为回顾性、描述性和观察性研究,采用科学计量学方法,分析单位为2018年至2024年Scopus数据库收录期刊中的所有出版物,无语言限制。为收集文章,在Scopus数据库中执行了高级搜索策略。使用“再接种”和“结核分枝杆菌”等关键词组合定义了具体搜索标准,并通过布尔运算符进行阐述,以优化结果的相关性。

结果

产出最多的机构是开普敦大学,而伦敦大学学院的被引影响力最高。《免疫学前沿》是产出最多的期刊,《自然通讯》的被引次数最高。哈瑟里尔·马克是发表文章最多的作者,有17篇出版物,不过最高h指数并不一定对应发表文章最多的作者。观察到出版物数量有所增加,在2020年达到峰值,为52篇。在合作方面,美国、英国和中国等国家之间形成了强大的网络,哈瑟里尔·马克和斯克里巴·托马斯·J等作者在这些网络中占据核心地位。

结论

这项科学计量学分析突出了对结核病再接种的兴趣日益增长,科研产出和国际合作都有所增加。然而,出版物质量的差异强调了促进高质量研究和创新策略以改善全球健康的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff0/11789948/df5b1fc1466f/LI-42-32-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff0/11789948/321258b03045/LI-42-32-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff0/11789948/64bb4c74ec60/LI-42-32-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff0/11789948/3b4b10428169/LI-42-32-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff0/11789948/df5b1fc1466f/LI-42-32-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff0/11789948/321258b03045/LI-42-32-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff0/11789948/64bb4c74ec60/LI-42-32-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff0/11789948/3b4b10428169/LI-42-32-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ff0/11789948/df5b1fc1466f/LI-42-32-g004.jpg

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