scholarly journals Scientometric Analysis of Dental Implant Research over the Past 10 Years and Future Research Trends

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xin Huang ◽  
Jin Bai ◽  
Xu Liu ◽  
Zhaosong Meng ◽  
Yuli Shang ◽  
...  
Keyword(s):  
Dental Implants ◽  
Dental Implant ◽  
High Frequency ◽  
Visual Analysis ◽  
Hot Spot ◽  
Research Field ◽  
Future Research ◽  
Scientometric Analysis ◽  
Mesh Terms ◽  
Sinus Floor

Background. We conducted a bibliometrics analysis to explore the recent trends in dental implant research which could help researchers have a clear grasp of the relevant research hotspots and prospects. Material and Methods. Altogether, 15,770 articles on dental implants, from January 1, 2010, to October 31, 2019, were selected from the Web of Science Core Collection. We used BICOMB software to extract the high-frequency MeSH terms and construct binary and coword matrices. gCLUTO software was used for biclustering and visual analysis, Ucinet 6 software for social network analysis, SCIMAT software for strategic diagram building, Citespace 5.5 software to form timeline visualization, and VOSviewer software, eventually, for bibliometrics cocitation network. Results. Altogether, 72 high-frequency keywords were extracted from the selected articles and 4 clusters and 7 subcategories were identified through biclustering analysis in the dental implant research field. The use of the strategic diagram also enabled us to find the research hotspot and development trends. Conclusions. The survival rate of dental implants and subsequent restoration have always been the core focus of research. Sinus floor elevation and guided bone regeneration are worthy of constant exploration owing to their reliability. With continuous improvement in technology, immediate loading could become a future research hot spot.

scholarly journals Bibliometric Analysis of Studies on Tumor Organoids

2021 ◽  
Author(s):  
Qiwei Chen ◽  
Yu Zhang ◽  
Kun Li ◽  
Zhikai Zhang ◽  
Ya Wang ◽  
...  
Keyword(s):  
Future Development ◽  
Hot Spots ◽  
High Frequency ◽  
Visual Analysis ◽  
Drug Effects ◽  
Research Field ◽  
The Matrix ◽  
Genetic Mechanisms ◽  
Double Clustering ◽  
High Frequency Words

Abstract Background: Organoid is an artificially grown mass of cells or tissues, which is similar to an organ. It can replicate the complexity of an organ and can be used for gaining a better understanding of diseases. In this study, the hot spots of “organoids” were classified into 6 categories and 10 aspects, and organoids used for studying genetic mechanisms, drug effect, and metabolism of tumors showed the greatest potential for future development.Methods: A total of 1550 articles relevant to organoid in tumor research field were recruited as research samples. High-frequency words and text/co-word matrix were constructed by BICOMB software. gCLUTO software was applied to analyze the matrix by double-clustering and visual analysis subsequently to identify the hotspot in this area.Results: We constructed a text and co-word matrix composed of 21 high-frequency words and 1550 articles and generated a hotspot “peak map” based on double-clustering analysis. The strategic coordinates approach was used to assess the research prospects of each hotspot and the connections between these hotspots.Conclusions: In this study, we classified the hot-spots of “organoid” into 6 categories and 10 aspects. Calculation and analysis revealed that the field of tumor organoid shows a slight trend of polarization, and organoid for studying the genetic mechanisms, drug effects and metabolism of tumor shows the greatest potential for future development.

scholarly journals Silicon Nitride (Si3N4) Implants: The Future of Dental Implantology?

2017 ◽  
Vol 43 (3) ◽  
pp. 240-244 ◽  
Author(s):  
Zahi Badran ◽  
Xavier Struillou ◽  
Francis J Hughes ◽  
Assem Soueidan ◽  
Alain Hoornaert ◽  
...  
Keyword(s):  
Silicon Nitride ◽  
Dental Implants ◽  
Dental Implant ◽  
Clinical Success ◽  
Treatment Options ◽  
Antibacterial Properties ◽  
Antimicrobial Properties ◽  
Future Research ◽  
Success Rates ◽  
Biological Performance

For decades titanium has been the preferred material for dental implant fabrication, with mechanical and biological performance resulting in high clinical success rates. These have been further enhanced by incremental development of surface modifications aimed at improving speed and degree of osseointegration and resulting in enhanced clinical treatment options and outcomes. However, increasing demand for metal-free dental restorations has also led to the development of ceramic-based dental implants, such as zirconia. In orthopedics, alternative biomaterials, such as polyetheretherketone or silicon nitride, have been used for implant applications. The latter is potentially of particular interest for oral use as it has been shown to have antibacterial properties. In this article we aim to shed light on this particular biomaterial as a future promising candidate for dental implantology applications, addressing basic specifications required for any dental implant material. In view of available preclinical data, silicon nitride seems to have the essential characteristics to be a candidate for dental implants material. This novel ceramic has a surface with potentially antimicrobial properties, and if this is confirmed in future research, it could be of great interest for oral use.

scholarly journals A Scientometric Overview of Global Dinoflagellate Research

Publications ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 50
Author(s):  
Carlos Yure B. Oliveira ◽  
Cicero Diogo L. Oliveira ◽  
Marius N. Müller ◽  
Elizabeth P. Santos ◽  
Danielli M. M. Dantas ◽  
...  
Keyword(s):  
Harmful Algal Blooms ◽  
Algal Blooms ◽  
Research Output ◽  
Research Field ◽  
Future Research ◽  
Scientometric Analysis ◽  
Fish Production ◽  
Emerging Trends ◽  
Basic Characteristics ◽  
Number Of Publications

Understanding the evolution of scientific literature is a critical and necessary step for the development and strengthening of a research field. However, an overview of global dinoflagellate research remains unavailable. Herein, global dinoflagellate research output was analyzed based on a scientometric approach using the Scopus data archive. The basic characteristics and worldwide interactions of dinoflagellate research output were analyzed to determine the temporal evolution and new emerging trends. The results confirm that dinoflagellate research output, reflected in the number of publications, is a fast-growing area since the mid-1990s. In total, five research subareas emerged using a bibliometric keywords analysis: (1) “symbiosis with coral reefs”, (2) “phylogeny”, (3) “palynology”, (4) “harmful algal blooms” and (5) “nutrition strategies”. Dinoflagellate publications were modeled by fish production (both aquaculture and fisheries) and economic and social indexes. Finally, directions for future research are proposed and discussed. The presented scientometric analysis confirms that dinoflagellate research is an active and important area with focus on mitigating economic impacts, especially in regard to fish production.

scholarly journals Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research

Entropy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 109 ◽  
Author(s):  
Xiaoyu Wang ◽  
Wang Zhao ◽  
Yongzhong Wang ◽  
Qin Zhao ◽  
Xuejie Yang ◽  
...  
Keyword(s):  
Information Theory ◽  
Visual Analysis ◽  
Temporal Distribution ◽  
Research Direction ◽  
Healthcare Research ◽  
Research Field ◽  
Future Research ◽  
Knowledge Support ◽  
Analytical Tools ◽  
Research Hotspots

In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for bibliometric analysis. HistCite, CiteSpace, Excel, and other analytical tools were used to deeply analyze and visualize the temporal distribution, spatial distribution, knowledge evolution, literature co-citation, and research hotspots of this field. This paper reveals the current development of healthcare research field based on information theory and science of complexity, analyzes and discusses the research hotspots and future development that trends in this field, and provides important knowledge support for researchers in this field for further relevant research.

Implementing Electronic Check-In/Check-Out to Reduce Challenging School Bus Behavior

2021 ◽  
pp. 016264342110044
Author(s):  
Brittany Hott ◽  
Kathleen M. Randolph ◽  
Janet Josephson ◽  
Sarah Heiniger
Keyword(s):  
Visual Analysis ◽  
Hot Spot ◽  
Single Case ◽  
Functional Relation ◽  
Case Manager ◽  
Rural Students ◽  
Future Research ◽  
Wireless Internet ◽  
Target Behaviors ◽  
Overlapping Data

The purpose of this study was to explore the efficacy of an electronic check-in, check-out (eCICO) intervention. The district’s case manager (i.e., guidance counselor) implemented the eCICO intervention remotely via FaceTime on an iPad in collaboration with the bus driver who facilitated student wireless internet access to a mobile hot spot. Results of the single-case multiple baseline across behaviors study suggest a functional relation between eCICO and the target bus behaviors of two rural students with emotional and behavioral disabilities. Further, low rates of target behaviors were maintained after eCICO was withdrawn. Implications for implementing eCICO interventions, limitations, and future research directions are discussed. Results of the study are reported using visual analysis, Tau-U, and percentage of non-overlapping data points.

scholarly journals A Review and Scientometric Analysis of Global Building Information Modelling (BIM) Research in the Architecture, Engineering and Construction (AEC) Industry

2019 ◽  
Author(s):  
Ziwen Liu ◽  
Yujie Lu ◽  
Lu Chang Peh
Keyword(s):  
Green Building ◽  
Recent Decade ◽  
Research Field ◽  
Future Research ◽  
Scientometric Analysis ◽  
Facilities Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Aec Industry

In the recent decade, Building Information Modelling (BIM) has widely been adopted in the Architecture, Engineering and Construction (AEC) industry and completely upended the way we build. While BIM continues gain momentum in the industry, it has also attracted increasing attentions from researchers. However, most of the current study focuses on reviewing BIM for management, BIM for green building, BIM for infrastructure and BIM for Facilities Management (FM). There are few studies about Global BIM review and to discuss their complex inter-connections. In this study, we adopted a scientometric analysis method to review global BIM research from 2004-2019. A total of 1455 scholarly bibliographic records obtained from Web of Science Core Collection databased were established for the analysis. This study has identified the top productive and influential researchers, research institutes, regions/countries, subject categories and journals in the BIM field. In addition, 11 clusters of Global BIM research were also identified including construction project, green BIM, construction safety planning, automated IFC-based workflow and so on. Authors distinguished 11 clusters of global BIM research into 3 stages, namely formulating stage, accelerating stage and transforming stage. Furthermore, authors reviewed the BIM policy of Singapore and observed there is a co-production relationship between evolution of BIM policy and global BIM research. These findings provide valuable information for researchers, practitioners and policy makers by visualizing the current progress in the research field of BIM and highlighting future research needs.

scholarly journals Bibliometrics and Visual Analysis of the Research Status and Trends of Postpartum Depression From 2000 to 2020

2021 ◽  
Vol 12 ◽  
Author(s):  
Xue Bai ◽  
Zixuan Song ◽  
Yangzi Zhou ◽  
Xiaoxue Wang ◽  
Yuting Wang ◽  
...  
Keyword(s):  
Postpartum Depression ◽  
High Frequency ◽  
Betweenness Centrality ◽  
Visual Analysis ◽  
The United States ◽  
Psychological Research ◽  
Scientific Output ◽  
Dominant Position ◽  
Software Applications ◽  
Mesh Terms

The purpose of this study was to evaluate the international scientific output on postpartum depression (PPD) research during 2000–2020 through a bibliometric analysis and to explore research hotspots, frontiers, and trends in the field of postpartum depression. We searched the Web of Science Core Collection for publications on postpartum depression published between 2000 and 2020. CiteSpace, gCluto, and other software applications were used to analyze the data by year, journal, and country. A total of 2,963 publications were retrieved and 96 countries or regions published related papers. The United States had the largest number of published papers and the highest betweenness centrality, which is the dominant position in the field of postpartum depression. A total of 717 journals published papers, with the Archives of Womens Mental Health ranked first in terms of volume and betweenness centrality. In this study, 31 high-frequency main MeSH terms/subheadings were selected. The high-frequency MeSH terms were clustered into six categories: an overview of depression-related research, diagnostic and screening scales for postpartum depression, epidemiological investigation into postpartum depression, treatment and drug selection for postpartum depression, psychological research on postpartum depression, and etiology, physiopathology, complications, genetics of postpartum depression. Finally, we used strategic diagram to analyze research trends in postpartum depression. This study has identified a continuous significant increase in the publication of PPD articles. Currently, the etiology, physiological pathology, intervention and treatment of complications on PPD are immature, which provides reference for the trend of obstetric psychology.

scholarly journals A Review and Scientometric Analysis of Global Building Information Modelling (BIM) Research in the Architecture, Engineering and Construction (AEC) Industry

2019 ◽  
Author(s):  
Ziwen Liu ◽  
Yujie Lu ◽  
Lu Chang Peh
Keyword(s):  
Green Building ◽  
Recent Decade ◽  
Research Field ◽  
Future Research ◽  
Scientometric Analysis ◽  
Facilities Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Aec Industry

In the recent decade, Building Information Modelling (BIM) has widely been adopted in the Architecture, Engineering and Construction (AEC) industry and completely upended the way we build. While BIM continues gain momentum in the industry, it has also attracted increasing attentions from researchers. However, most of the current study focuses on reviewing BIM for management, BIM for green building, BIM for infrastructure and BIM for Facilities Management (FM). There are few studies about Global BIM review and to discuss their complex inter-connections. In this study, we adopted a scientometric analysis method to review global BIM research from 2004-2019. A total of 1455 scholarly bibliographic records obtained from Web of Science Core Collection databased were established for the analysis. This study has identified the top productive and influential researchers, research institutes, regions/countries, subject categories and journals in the BIM field. In addition, 11 clusters of Global BIM research were also identified including construction project, green BIM, construction safety planning, automated IFC-based workflow and so on. Authors distinguished 11 clusters of global BIM research into 3 stages, namely formulating stage, accelerating stage and transforming stage. Furthermore, authors reviewed the BIM policy of Singapore and observed there is a co-production relationship between evolution of BIM policy and global BIM research. These findings provide valuable information for researchers, practitioners and policy makers by visualizing the current progress in the research field of BIM and highlighting future research needs.

scholarly journals Visual Analysis of Research Hot Spots, Characteristics, and Dynamic Evolution of International Competitive Basketball Based on Knowledge Mapping

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402098872
Author(s):  
Cheng Bin ◽  
Chen Weiqi ◽  
Chu Shaoling ◽  
Hu Chunxia
Keyword(s):  
Hot Spots ◽  
Visual Analysis ◽  
Hot Spot ◽  
Basic Research ◽  
Sports Injury ◽  
Research Trend ◽  
Future Research ◽  
Knowledge Map ◽  
Knowledge Mapping ◽  
Research Institutions

A total of 1,207 papers related to competitive basketball research from 1986 to 2019 were retrieved from the Web of Science database. Taking the retrieved papers as research objects, the trend chart, keyword map, and citation map of international competitive basketball research were drawn using the visual software CiteSpaceIII, and the methods of literature review, knowledge map analysis, co-occurrence analysis, citation analysis, and word frequency analysis were used. The research status and hot spots of international competitive basketball in recent 30 years are analyzed, which clarify the research context of foreign competitive basketball, reveal the research trend of international competitive basketball, and provide theoretical reference for future competitive basketball research. The research shows that (a) competitive basketball research lacks influential scientific research institutions and leading figures, and the existing research institutions are in their own way with little cooperation. (b) The hot spots of competitive basketball research are “Competitive performance,” “Gender difference,” “Sports injury,” and so on. Co-occurrence network structure is relatively loose and the density is not high. (c) “Sports injury” has always been the hot spot and frontier of competitive basketball research, from the early rehabilitation basic research aimed at ensuring competitive participation to the fine-grained preventive research centered on “preventing diseases,” and then to the interdisciplinary comprehensive research of electronic science, neuroscience, and brain science. In this process, big data research began to emerge, reflecting the research characteristics of the era of mathematics and intelligence, and also showing the future research trend and development direction of competitive basketball.

scholarly journals Current Trends in Research on Bone Regeneration: A Bibliometric Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xin Huang ◽  
Xu Liu ◽  
Yuli Shang ◽  
Feng Qiao ◽  
Gang Chen
Keyword(s):  
Social Network ◽  
Bone Regeneration ◽  
Dental Implants ◽  
Bibliometric Analysis ◽  
Clinical Application ◽  
High Frequency ◽  
Tissue Loss ◽  
Mesh Terms ◽  
The Matrix ◽  
Research Hotspots

Background. Bone regeneration is a frequent research topic in clinical studies, but macroscopic studies on the clinical application of bone regeneration are rare. We conducted a bibliometric analysis, using international databases, to explore the clinical application and mechanism of bone regeneration, to highlight the relevant research hotspots and prospects. Material and Methods. Scientific reports on bone regeneration published during 2009–2019 were retrieved from PubMed. VOSviewer for cooccurrence keywords and authorship analysis. BICOMB software was used to retrieve high-frequency words and construct a text/coword matrix. The matrix was inputted into gCLUTO software, managed by biclustering analysis, in order to identify hotspots, which could achieve mountain and matrix visualizations. The matrix was also analyzed by using Ucinet 6 software for social network analysis. A strategic diagram was used for further analysis of the research hotspots of bone regeneration by “SCIMAT” software. We searched the Web of Science for relevant articles. Results. Eighty-nine high-frequency major MeSH terms were obtained from 10237 articles and were divided into 5 clusters. We generated a network visualization map, an overlay visualization mountain map, and a social network diagram. Then, the MeSH terms were subdivided into 7 categories according to each diagram; current research hotspots were identified as scaffold, drug effect, osseointegration in dental implant, guided bone regeneration, factors impacting bone regeneration, treatment of bone and tissue loss, and bone regeneration in dental implants. Conclusion. BICOMB, VOSviewer, and other bibliometric tools revealed that dental implants, scaffolds, and factors impacting bone regeneration are hot research topics, while scaffolds also hold promise from the perspective of bone tissue regeneration.

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