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

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 fiel...

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Bibliographic Details
Main Authors: Miguel Angel Sanchez-Tena, Cristina Alvarez-Peregrina, Jose Sanchez-Valverde, Cesar Villa-Collar
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Journal of Ophthalmology
Online Access:http://dx.doi.org/10.1155/2019/6964043
Description
Summary: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.
ISSN:2090-004X
2090-0058