Scientometric Analysis of Dental Implant Research over the Past 10 Years and Future Research Trends.
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 Oc...
| Publicado en: | BioMed Research International pp. 1 - 14 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
4/13/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=149778857&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 149778857 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 4/13/2021 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 149778857 149778857 149778857 10.1155/2021/6634055 149778857 ppf: 1 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Scientometric Analysis of Dental Implant Research over the Past 10 Years and Future Research Trends. aug: au: Huang, Xin Bai, Jin Liu, Xu Meng, Zhaosong Shang, Yuli Jiao, Tiejun Chen, Gang Deng, Jiayin affil: Department of Oral and Maxillofacial Surgery, Stomatological Hospital of Tianjin Medical University, Tianjin, China sug: subj: Dental Implants Research, Dental Trends Bibliometrics Human Cluster Analysis Data Analysis Software Citation Analysis Dental Restoration, Permanent Prosthesis Failure Bone Regeneration Maxillary Sinus Surgery Dental Implantation Methods ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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