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当前状态与未来趋势:角膜塑形术领域的引文网络分析

Current State and Future Trends: A Citation Network Analysis of the Orthokeratology Field.

作者信息

Sanchez-Tena Miguel Angel, Alvarez-Peregrina Cristina, Sanchez-Valverde Jose, Villa-Collar Cesar

机构信息

Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Madrid 20822, Spain.

Clinica Oftalmologica Doctor Lens, Madrid 28009, Spain.

出版信息

J Ophthalmol. 2019 Mar 7;2019:6964043. doi: 10.1155/2019/6964043. eCollection 2019.

Abstract

INTRODUCTION

Citation network analysis is a powerful tool that allows for a visual and objective representation of the past, present, and potential future directions of a research field. The objective of this study is using citation analysis network to analyse the evolution of knowledge in the field of orthokeratology.

MATERIALS AND METHODS

The database used in this citation networks analysis study was Scopus. The descriptor used was "orthokeratology" limited to three fields: title, keywords, and/or abstract, analysing the five most cited authors. Only articles cited at least twenty times were used. The computer software used was UCINET with two types of analysis, qualitative and quantitative.

RESULTS

27 nodes have been included according to the search and inclusion criteria. In qualitative analysis, based on illustrate results, the relationships among nodes and their positions and connections show how the study of Cho et al. in 2005 is clearly positioned as a central cutoff point in the network. Quantitative analysis reveals the normalized value of the sample and shows how the study of Cho et al. in 2005 presents the highest percentage of input connections.

CONCLUSIONS

This study shows the state of the flow of information in the orthokeratology field by providing links in bibliographic citations from a qualitative and quantitative point of view.

摘要

引言

引文网络分析是一种强大的工具,它能够直观、客观地呈现一个研究领域的过去、现在以及潜在的未来发展方向。本研究的目的是利用引文分析网络来分析角膜塑形术领域的知识演变。

材料与方法

本引文网络分析研究使用的数据库是Scopus。使用的描述词是“角膜塑形术”,限定在三个字段:标题、关键词和/或摘要,分析被引次数最多的五位作者。仅使用被引用至少二十次的文章。使用的计算机软件是UCINET,进行定性和定量两种类型的分析。

结果

根据搜索和纳入标准,共纳入27个节点。在定性分析中,基于图示结果,节点之间的关系及其位置和连接显示了2005年Cho等人的研究如何在网络中被明确定位为一个中心分界点。定量分析揭示了样本的标准化值,并显示了2005年Cho等人的研究呈现出最高百分比的输入连接。

结论

本研究从定性和定量的角度,通过提供文献引文中的链接,展示了角膜塑形术领域的信息流动状态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30cc/6431452/2a71657c056c/JOPH2019-6964043.001.jpg

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