So sánh phương pháp

	Phân tích đồng trích dẫn tuân thủ PRISMA	Phân tích đồng trích dẫn (Co-Citation Analysis)
Lĩnh vực	Trắc lượng khoa học	Trắc lượng thư mục
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2009–2021 (methodological combination emerged in the 2010s)	1973
Người khởi xướng	PRISMA: Moher et al. (2009), updated Page et al. (2021); Co-citation: Henry Small (1973)	Henry Small
Loại	Systematic bibliometric review	Method
Công trình gốc	Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71.	Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269.
Tên gọi khác	systematic co-citation review, PRISMA co-citation, co-citation analysis with PRISMA reporting, transparent co-citation analysis	co-citation mapping, historiograph, direct citation, citation pair analysis
Liên quan	6	5
Tóm tắt	PRISMA-compliant co-citation analysis is a systematic bibliometric method that applies the PRISMA 2020 reporting framework to co-citation analysis. It identifies intellectual clusters in a research field by measuring how frequently pairs of documents are cited together, while ensuring full transparency of the literature search, screening decisions, and analytic choices through a pre-registered protocol and standardised flow diagram.	Co-citation analysis is a method that identifies the intellectual structure of a research domain by examining how frequently pairs of documents are cited together in other publications. When two papers are frequently cited together in the literature, they are considered co-cited, indicating they are conceptually related or influential within the same research community. Developed by Henry Small in 1973, co-citation analysis maps the 'invisible colleges' of science—networks of researchers working on related problems—and reveals how knowledge domains evolve over time.