방법 비교

	bibliometrix 기반 PRISMA 검토	계량서지학적 분석
분야	과학계량학	과학계량학
계열	Process / pipeline	Process / pipeline
기원 연도	2017 (bibliometrix); 2009/2021 (PRISMA)	1969 (term); 1963 (Price's foundational work)
창시자	Aria & Cuccurullo (bibliometrix package); Moher et al. / Page et al. (PRISMA statement)	V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods)
유형	Software-assisted systematic review workflow	Quantitative literature analysis
원전	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.	Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka.
별칭	bibliometrix PRISMA review, R-bibliometrix systematic review, bibliometrix-enhanced evidence synthesis, bibliometrix-supported PRISMA review	scientometrics, science of science, quantitative science studies, research evaluation analysis
관련	5	6
요약	A bibliometrix-assisted PRISMA-based review combines the structured, transparent reporting framework of PRISMA with the quantitative science-mapping capabilities of the bibliometrix R package. The approach embeds bibliometric analyses — such as citation analysis, co-authorship mapping, and keyword co-occurrence — into the evidence-synthesis steps of a PRISMA-guided systematic review, enabling both rigorous literature screening and macro-level visualization of the intellectual landscape.	Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads.