Diffusion tensor imaging from past to present: A bibliometric analysis with trending topics and global productivity during 1980-2022

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dc.authoridOZTURK OZLUK, Gulsah/0000-0002-2253-9037
dc.authoridOzluk, Enes/0000-0002-6300-5453
dc.contributor.authorOzluk, Enes
dc.contributor.authorOzluk, Guelsah Ozturk
dc.date.accessioned2024-09-11T19:50:06Z
dc.date.available2024-09-11T19:50:06Z
dc.date.issued2024
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractDiffusion tensor imaging (DTI) provides increasing opportunities for clinicians. As bibliometric studies define trends of novel modality applications, this study on DTI analyzed global productivity, most prolific institutions, and research areas. Articles obtained from the Web of Science (WoS) database were analyzed with the VOSviewer program, biblioshiny library in the R studio software bibliometrix package, exponential smoothing estimator, and with the SPSS (Version: 22.0) statistical software. In descending order, the United States, China, and Germany were the top 3 countries publishing DTI research. In descending order, the top 3 most productive institutions were California, Harvard and Johns Hopkins University. Trend topics include traumatic brain injury, tract-based spatial statistics, fractional anisotropy, prognosis, machine learning, autism, white matter integrity and microstructure and Parkinson's disease. According to the estimations, 345 DTI articles will be published in 2025 (95% CI: 254-437). This study indicates the ever-growing employment of DTI in clinical and basic sciences.en_US
dc.identifier.doi10.1002/ima.23115
dc.identifier.issn0899-9457
dc.identifier.issn1098-1098
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85194882751en_US
dc.identifier.urihttps://doi.org/10.1002/ima.23115
dc.identifier.urihttps://hdl.handle.net/11363/7558
dc.identifier.volume34en_US
dc.identifier.wosWOS:001235129300001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofInternational Journal of Imaging Systems And Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectbibliometric analysisen_US
dc.subjectcitation analysisen_US
dc.subjectdiffusion tensor imagingen_US
dc.subjectresearch trendsen_US
dc.subjectscientometric analysisen_US
dc.titleDiffusion tensor imaging from past to present: A bibliometric analysis with trending topics and global productivity during 1980-2022en_US
dc.typeArticleen_US

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