Suppr超能文献

儿科期刊中特应性皮炎出版物的代表性不足:一项文献计量分析。

Underrepresentation of atopic dermatitis publications in pediatric journals: a bibliometric analysis.

作者信息

Zlakishvili Barak, Weissmann Sarah, Horev Amir

机构信息

Hebrew University School of Medicine, Jerusalem.

Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er-Sheva.

出版信息

Dermatol Reports. 2024 Apr 12;16(4):9932. doi: 10.4081/dr.2024.9932. eCollection 2024 Nov 21.

Abstract

Extensive research has been published on atopic dermatitis (AD), a prevalent skin condition among pediatricians. To assess the pediatric representation in the most cited literature on AD, using bibliometric analysis. Web of Science citation indexing database was used to identify publications with "atopic" and "dermatitis" or "eczema" in their title. Results were ranked by their Annual citation (AC) and refined to the top 100 most cited articles in the non-refined pediatric category and the top five journals in the categories of general medicine, dermatology, and pediatrics, by impact factor. 28,360 publications were retrieved. The metrics were significantly higher in dermatology, compared to pediatric and general categories [(R = 0.899, p < .001), (R = 0.795, p < .001), (R = 0.639, p < .001)] and [(R = 0.417, p < .001), (R = 0.392, p < .001), (R = 0.279, p < .001)]. This analysis is the first to highlight the underrepresentation of AD publications in the pediatric literature, which might impact the clinicians' and patients' level of care and AD annual societal expenditure.

摘要

关于特应性皮炎(AD)已有大量研究发表,这是儿科医生中常见的一种皮肤疾病。为了通过文献计量分析评估AD最具引用率文献中的儿科代表性。使用科学网引文索引数据库来识别标题中包含“特应性”和“皮炎”或“湿疹”的出版物。结果按年度引用次数(AC)进行排名,并根据影响因子筛选出非细化儿科类别中引用次数最多的前100篇文章以及普通医学、皮肤病学和儿科学类别中的前五本期刊。共检索到28360篇出版物。与儿科和普通类别相比,皮肤病学方面的指标显著更高[(R = 0.899,p <.001),(R = 0.795,p <.001),(R = 0.639,p <.001)]以及[(R = 0.417,p <.001),(R = 0.392,p <.001),(R = 0.279,p <.001)]。该分析首次强调了儿科文献中AD出版物的代表性不足,这可能会影响临床医生和患者的护理水平以及AD的年度社会支出。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7049/11632456/b97b96cd591d/dr-16-4-9932-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验