Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019)

Han, Jieun; Kang, Hyo‐Jin; Kim, Minjung; Kwon, Gyu Hyun

doi:10.1016/j.jbi.2020.103516

Cited by 89 publications

(54 citation statements)

References 32 publications

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“…The bibliographic information of 379 animal science studies out of 20208 studies with GWAS was used as a material from 2007 to 2021. Bibliometric analysis is a scientific computer-assisted analysis method that identifies research, authors, and their relations by covering all the publications published on a particular subject (Han et al, 2020). However, bibliometric analysis can provide comprehensive visualization and relational information on the chosen topic to understand the overall picture.…”

Section: Methodsmentioning

confidence: 99%

Bibliometric Analysis for Genome-Wide Association Studies in Animal Science

Tirink

2022

Black Sea Journal of Agriculture

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The main idea of the study is to determine the trends in recent years in the field of animal science, by examining 379 studies with the term "genome-wide association studies" in the title of the article published within the scope of SCI-Expanded between 2007 and 2021, within the scope of bibliometric analysis. In this context, the term of "Genome-Wide Association Studies" was searched in the Web of Science database in the study titles and the bibliometric data of the studies were accessed in plaintext format. The bibliometric results show that GWAS within animal science is developing steadily as a field of scientific research and is currently a highly topical issue. GWAS has been one of the most popular research areas due to its application in many different fields such as cell biology, plant sciences, zoology, animal science, etc. In the light of this information, it can be listed as an important contribution that GWAS studies with bibliometric analysis are still up-to-date and that the studies to be done will increase their contribution to animal science.

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Section: Methodsmentioning

confidence: 99%

Bibliometric Analysis for Genome-Wide Association Studies in Animal Science

Tirink

2022

Black Sea Journal of Agriculture

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“…A comprehensive, focused literature search was conducted and performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines [12] .…”

Section: Methodsmentioning

confidence: 99%

Preoperative planning in paediatric liver tumour surgery - a literature review

Kościuszko¹,

Niemirycz-Makurat²,

Anzelewicz³

et al. 2021

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Radiological assessment is evolving rapidly, including in paediatric liver tumour surgery. There are advancements in the fields of conventional radiology, 3D imaging and preoperative planning. This article presents the current research in paediatric liver imaging for liver tumour surgery and shows the results of a systematic search in computer-aided liver surgery in children. Sixteen original papers were found. We summarise the progress made and offer the directions in which further research could go. Computer-assisted surgery is a promising field for research and clinical application.

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“…Researchers have combined coword analysis with cluster analysis, multidimensional scaling, or social network analysis (SNA) to statistically investigate word co-occurrence patterns using titles, keywords, and abstracts [21,22]. In health informatics research, the combination of coword analysis and SNA has been adopted to identify the trends of specific themes in health care, such as mobile health [23], cybersecurity [24], and robotic or mixed reality surgery [25,26]. Accordingly, we adopted coword analysis combined with SNA to better understand key topics in smart home health care research.…”

Section: Bibliometric Network Analysis and Coword Analysismentioning

confidence: 99%

Determining the Intellectual Structure and Academic Trends of Smart Home Health Care Research: Coword and Topic Analyses (Preprint)

Kang¹,

Han²,

Kwon³

2020

Preprint

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BACKGROUND With the rapid development of information and communication technologies, smart homes are being investigated as effective solutions for home health care. The increasing academic attention on smart home healthcare has primarily been on the development and application of smart home technologies. However, comprehensive studies examining the general landscape of diverse research areas for smart home healthcare are still lacking. OBJECTIVE This study aimed to determine the intellectual structure of smart home healthcare in a time series by conducting bibliometric network analysis. Specifically, it investigated: (1) the intellectual basis of smart home healthcare through overall academic status; (2) the intellectual foci therefor, through influential keywords and their evolutions; and (3) intellectual trends through primary topics and their evolutions. METHODS Analyses were conducted in five steps: (1) data retrieval from article databases (Web of Science, Scopus, and PubMed) and the initial dataset preparation of 6,080 abstracts from 2000 to 2019 first half; (2) data pre-processing and refinement extracting of 25,563 words; (3) a descriptive analysis of the overall academic status and period division (ie, 4 stages of 3-year blocks); (4) keyword and centrality analysis based on word co-occurrence networks for the intellectual foci, and (5) topic analysis for the intellectual trends based on LDA topic modelling, word-topic networks, and researcher workshops. RESULTS First, regarding the intellectual basis, the recent academic interest in smart home healthcare and predominant journals and research domains were verified. Second, to determine the intellectual foci, primary keywords were identified and classified according to the degree of their centrality values. Third, five themes pertaining to the topic evolution emerged: (1) the diversification of smart home healthcare research topics; (2) the shift from technology-oriented research to technological convergence research; (3) the expansion of application areas and system functionality of smart home healthcare; (4) the increased focus on system usability, such as service design and experiences; and (5) the recent adaptation of the latest technologies in healthcare. Based on these findings, the pattern of technology diffusion in smart home healthcare research was determined as (a) the adaptation of technologies, (b) the proliferation of application areas, and (c) the extension into system design and service experiences. CONCLUSIONS The research findings provide academic and practical value in three aspects: first, they promote a comprehensive understanding of the smart home healthcare domain by identifying its multifaceted intellectual structure in a time series. Second, they can help clinicians discern the development and dispersion level of their respective disciplines. Third, the pattern of technology diffusion in smart home healthcare could help scholars comprehend current and future research trends, and identify research opportunities based on upcoming research waves of newly adapted technologies in smart home healthcare.

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Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019)

Cited by 89 publications

References 32 publications

Bibliometric Analysis for Genome-Wide Association Studies in Animal Science

Bibliometric Analysis for Genome-Wide Association Studies in Animal Science

Preoperative planning in paediatric liver tumour surgery - a literature review

Determining the Intellectual Structure and Academic Trends of Smart Home Health Care Research: Coword and Topic Analyses (Preprint)

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