Suppr超能文献

唾液生物标志物用于早期口腔癌诊断的成熟数据库与新兴数据库的比较文献计量分析

Comparative Bibliometric Analysis of Established and Emerging Databases on Salivary Biomarkers for Early Oral Cancer Diagnosis.

作者信息

Pradhan Pragya, Saxena Vrinda, Haider Aiman

机构信息

Department of Dentistry, District Hospital, Neemuch, Madhya Pradesh, India.

Department of Public Health Dentistry, Government College of Dentistry, Indore, Madhya Pradesh, India.

出版信息

J Oral Pathol Med. 2024 Oct;53(9):595-604. doi: 10.1111/jop.13575. Epub 2024 Aug 21.

Abstract

BACKGROUND

Salivary biomarkers play an important role in the preventive strategy for oral cancer detection at an early stage. The aim of this study was to carry out a comparative quantitative analysis of the research material on the topic in one established database, Scopus and another emerging database, Dimensions.

METHOD

An electronic search was performed in Scopus and Dimensions in April 2024 with the search subjects "Saliva," "Biomarkers," "Diagnosis," and "Oral Cancer." The retrieved data were analyzed using Biblioshiny for RStudio and MS Excel.

RESULT

The search yielded 229 and 158 documents in Scopus and Dimensions, respectively. The data were studied to understand the coverage, concentration, and diversion of research articles. The analysis revealed high singularity index for Scopus and low overlap percentage between the two databases. Scopus was found to have higher citation count per article, however, the citation correlation between Scopus and Dimensions was found to be strong. Author productivity was found to be low in both the databases.

CONCLUSION

Scopus and Dimensions vary in their scope, volume of data, and coverage policies. Both the databases have complimentary coverage on salivary biomarkers for oral cancer diagnosis. However, Scopus has a greater number of articles, sources, and citations resulting in better coverage of the topic.

摘要

背景

唾液生物标志物在口腔癌早期检测的预防策略中发挥着重要作用。本研究的目的是在一个成熟的数据库Scopus和另一个新兴数据库Dimensions中,对该主题的研究材料进行比较定量分析。

方法

2024年4月在Scopus和Dimensions中进行电子检索,检索主题为“唾液”“生物标志物”“诊断”和“口腔癌”。使用适用于RStudio的Biblioshiny和MS Excel对检索到的数据进行分析。

结果

在Scopus和Dimensions中分别检索到229篇和158篇文献。对数据进行研究以了解研究文章的覆盖范围、集中度和偏差。分析显示Scopus的奇异性指数较高,两个数据库之间的重叠百分比较低。发现Scopus每篇文章的被引次数较高,然而,Scopus和Dimensions之间的引文相关性很强。两个数据库中的作者生产力都较低。

结论

Scopus和Dimensions在范围、数据量和覆盖政策方面存在差异。两个数据库在唾液生物标志物用于口腔癌诊断方面具有互补性覆盖。然而,Scopus有更多的文章、来源和引文,从而对该主题有更好的覆盖。

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