1970年至2018年变应性鼻炎领域最具影响力的100篇文章:一项文献计量分析。

The top 100 most influential articles in allergic rhinitis from 1970 to 2018: A bibliometric analysis.

作者信息

Wu Qingwu, Zheng Rui, Wang Weihao, Qiu Huijun, Huang Xuekun, Yang Qintai

机构信息

Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

出版信息

J Int Med Res. 2019 Dec;47(12):6315-6336. doi: 10.1177/0300060519885570. Epub 2019 Nov 19.

Abstract

OBJECTIVE

This study aimed to identify the top 100 most influential articles in the field of allergic rhinitis (AR).

METHODS

Web of Science was queried for 1970 to 2018. Articles were sorted in descending order of the citation count. All titles and abstracts were screened to identify the top 100 articles.

RESULTS

The top 100 most influential articles in AR were identified. The earliest article was published in 1975, and the most recent in 2015. The most prolific decade was the 2000s, with 59 articles published. Twenty-nine journals contributed to the top 100 articles, with the contributing most of the articles (n = 34). The top three countries of article origin were the United States (n = 34), followed by the United Kingdom and France (n = 14 each). The type of article covered clinical research (n = 68), reviews (n = 22), and basic research (n = 10). For the clinical research articles, there were 6 studies with level 1 evidence, 25 with level 2 evidence, 11 with level 3 evidence, and 26 with level 4 evidence.

CONCLUSIONS

This study identified the top 100 most influential articles in the area of AR. Recognition of important historical contributions to this field may guide future investigations into AR.

摘要

目的

本研究旨在确定变应性鼻炎(AR)领域最具影响力的100篇文章。

方法

检索科学网1970年至2018年的文献。文章按被引频次降序排列。对所有标题和摘要进行筛选以确定前100篇文章。

结果

确定了AR领域最具影响力的100篇文章。最早的文章发表于1975年,最新的发表于2015年。文章发表最多的十年是21世纪00年代,共发表59篇文章。29种期刊发表了前100篇文章中的大部分(n = 34)。文章来源排名前三的国家是美国(n = 34),其次是英国和法国(各n = 14)。文章类型包括临床研究(n = 68)、综述(n = 22)和基础研究(n = 10)。对于临床研究文章,有6项研究为1级证据,25项为2级证据,11项为3级证据,26项为4级证据。

结论

本研究确定了AR领域最具影响力的100篇文章。认识该领域重要的历史贡献可能会指导未来对AR的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d43f/7045673/d7a65451ae8d/10.1177_0300060519885570-fig1.jpg

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