Mapping Knowledge Structure and Research Frontiers of Ultrasound-Induced Blood-Brain Barrier Opening: A Scientometric Study

Wu, Haiyang; Zhou, Yan; Xu, Lixia; Tong, Linjian; Wang, Yulin; Liu, Baolong; Yan, Hua; Sun, Zilin

doi:10.3389/fnins.2021.706105

Cited by 45 publications

(45 citation statements)

References 92 publications

(152 reference statements)

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“…The larger the value is, the better the clustering result of the network. Another indicator was the silhouette value, which was used to measure the network homogeneity ( 47 , 48 ). As shown in Figure 5B , the modular Q value was 0.7218, and the mean silhouette S value was also as high as 0.9248, indicating that the clustering effect and network homogeneity were satisfactory.…”

Section: Resultsmentioning

confidence: 99%

The Global Research of Artificial Intelligence on Prostate Cancer: A 22-Year Bibliometric Analysis

Shen

Chen

et al. 2022

Front. Oncol.

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BackgroundWith the rapid development of technology, artificial intelligence (AI) has been widely used in the diagnosis and prognosis prediction of a variety of diseases, including prostate cancer. Facts have proved that AI has broad prospects in the accurate diagnosis and treatment of prostate cancer.ObjectiveThis study mainly summarizes the research on the application of artificial intelligence in the field of prostate cancer through bibliometric analysis and explores possible future research hotspots.MethodsThe articles and reviews regarding application of AI in prostate cancer between 1999 and 2020 were selected from Web of Science Core Collection on August 23, 2021. Microsoft Excel 2019 and GraphPad Prism 8 were applied to analyze the targeted variables. VOSviewer (version 1.6.16), Citespace (version 5.8.R2), and a widely used online bibliometric platform were used to conduct co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references, and keywords in this field.ResultsA total of 2,749 articles were selected in this study. AI-related research on prostate cancer increased exponentially in recent years, of which the USA was the most productive country with 1,342 publications, and had close cooperation with many countries. The most productive institution and researcher were the Henry Ford Health System and Tewari. However, the cooperation among most institutions or researchers was not close even if the high research outputs. The result of keyword analysis could divide all studies into three clusters: “Diagnosis and Prediction AI-related study”, “Non-surgery AI-related study”, and “Surgery AI-related study”. Meanwhile, the current research hotspots were “deep learning” and “multiparametric MRI”.ConclusionsArtificial intelligence has broad application prospects in prostate cancer, and a growing number of scholars are devoted to AI-related research on prostate cancer. Meanwhile, the cooperation among various countries and institutions needs to be strengthened in the future. It can be projected that noninvasive diagnosis and accurate minimally invasive treatment through deep learning technology will still be the research focus in the next few years.

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Section: Resultsmentioning

confidence: 99%

The Global Research of Artificial Intelligence on Prostate Cancer: A 22-Year Bibliometric Analysis

Shen

Chen

et al. 2022

Front. Oncol.

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“…For the United Kingdom (UK), publications from England, Northern Ireland, Scotland, and Wales were merged [ 23 ]. Finally, 89 countries contributed to the FRI publications ( Figure 3 ).…”

Section: Resultsmentioning

confidence: 99%

A bibliometric analysis of clinical research on fracture-related infection

Foster

Han

et al. 2022

BioMed Research International

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Background. Infection following orthopaedic trauma surgery is increasingly recognized as one of the major research priorities with as primary goal, improving patient care. This increased interest has been anecdotally recognized through published research, research grants, and, finally, with the development of the fracture-related infection (FRI) consensus group. In 2017, the accepted consensus definition of FRI was published, which has been followed by consensus recommendations from both a surgical and medical perspective. A bibliometric analysis was performed to objectively describe the trends in published clinical research related to FRI. Methods. The terms related to FRI were searched in the Web of Science database between 2000 and 2020. The characteristics of clinical research on FRI regarding the author, country, journal, institution, scientific output, top 100 most cited articles, and trend topics were analyzed using Bibliometrix and WPS Office. Results. A total of 2597 records were eligible for inclusion in this bibliometric approach, with studies originating from 89 countries, including eight languages. The United States of America (USA) published the highest number of articles and citations. International collaborations were present between 72 countries, with the most active country being the USA. The most contributive institution was the University of California. The highest number of papers and citations were from the Injury-International Journal of the Care of the Injured and the Journal of Orthopaedic Trauma. The top 100 most cited articles were published in 27 different journals, with the number of citations ranging between 97 and 1004. The latest trend topics were related to the diagnosis of FRI. Conclusion. The present bibliometric analysis shows the research characteristics and trends of FRI from multiple perspectives. The fact that there is an increasing number of studies being published on FRI shows the agreement among scientists and clinicians that standardization with respect to this topic is very important.

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“…The results of correlation analysis indicated that part of the discrepancy in the quantity of publications across different countries can be explained by factors of economy or population. The H-index is a bibliometric indicator that simultaneously measures the quality (mainly depends on citations) and quantity (number of documents) of publications in a journal, author, or country [ 19 , 26 ]. In this study, the USA, China, and Japan were the top three countries with the highest H-index.…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, inter-institutional cooperation levels were relatively low and primarily conducted in Asian research institutions. Furthermore, none of the institutions had BC value greater than 0.1, indicating that there was no one institution occupied the absolutely central position in the collaboration network [ 17 , 19 ]. In view of this, strengthening cooperative networks in different research institutions or teams will be important for future studies whether for basic scientific researches or clinical trials.…”

Section: Discussionmentioning

confidence: 99%

“…Overall, all these visualization maps are also comprised of nodes and lines representing different meanings. Betweenness centrality (BC) is an important indicator that could identify the relative importance of a node within the networks, and nodes with the highest BC value (≥ 0.1) are usually known as hubs nodes that usually marked with purple rings [ 17 , 19 ]. More detailed software utilization skills and information about the visualization maps can be found in the CiteSpace manual (available at http://cluster.ischool.drexel.edu/~cchen/citespace/CiteSpaceManual.pdf ).…”

Section: Methodsmentioning

confidence: 99%

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Knowledge structure and emerging trends on osteonecrosis of the femoral head: a bibliometric and visualized study

Cheng

Tong

et al. 2022

J Orthop Surg Res

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Background Osteonecrosis of the femoral head (ONFH) is a common disabling disease with considerable social and economic impacts. Although extensive studies related to ONFH have been conducted in recent years, a specific bibliometric analysis on this topic has not yet been performed. Our study attempted to summarize the comprehensive knowledge map, development landscape, and future directions of ONFH research with the bibliometric approach. Methods All publications concerning ONFH published from 2001 to 2020 were identified from Web of Science Core Collection. Key bibliometric indicators were calculated and evaluated using CiteSpace, VOSviewer, and the online bibliometric analysis platform. Results A total of 2594 publications were included. Our analysis revealed a significant exponential growth trend in the annual number of publications over the past 20 years (R2 = 0.9663). China, the USA, and Japan were the major contributors both from the quality and quantity points of view. Correlation analysis indicated that there was a high positive correlation between the number of publications and gross domestic product (r = 0.774), and a moderate positive correlation between publications and demographic factor (r = 0.673). All keywords were categorized into four clusters including Cluster 1 (etiology and risk factors study); Cluster 2 (basic research and stem cell therapy); cluster 3 (hip-preserving study); and Cluster 4 (hip replacement study). Stem cell therapy-related research has been recognized as an important research hotspot in this field. Several topics including exosomes, autophagy, biomarkers, osteogenic differentiation, microRNAs, steroid-induced osteonecrosis, mesenchymal stem cells, double-blind, early-stage osteonecrosis, and asymptomatic osteonecrosis were considered as research focuses in the near future. Conclusion Over the past two decades, increasing attention has been paid to global ONFH-related research. Our bibliometric findings provide valuable information for researchers to understand the basic knowledge structure, identify the current research hotspots, potential collaborators, and future research frontiers in this field.

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Mapping Knowledge Structure and Research Frontiers of Ultrasound-Induced Blood-Brain Barrier Opening: A Scientometric Study

Cited by 45 publications

References 92 publications

The Global Research of Artificial Intelligence on Prostate Cancer: A 22-Year Bibliometric Analysis

The Global Research of Artificial Intelligence on Prostate Cancer: A 22-Year Bibliometric Analysis

A bibliometric analysis of clinical research on fracture-related infection

Knowledge structure and emerging trends on osteonecrosis of the femoral head: a bibliometric and visualized study

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