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| Analisis Ko-Sitasi yang Sesuai dengan PRISMA× | Analisis Ko-Sitasi× | |
|---|---|---|
| Bidang≠ | Saintometrika | Bibliometrika |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2009–2021 (methodological combination emerged in the 2010s) | 1973 |
| Pencetus≠ | PRISMA: Moher et al. (2009), updated Page et al. (2021); Co-citation: Henry Small (1973) | Henry Small |
| Tipe≠ | Systematic bibliometric review | Method |
| Sumber perintis≠ | 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. DOI ↗ | 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. DOI ↗ |
| Alias | 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 |
| Terkait≠ | 6 | 5 |
| Ringkasan≠ | 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. |
| ScholarGateSet data ↗ |
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