Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ со-цитирования, соответствующий PRISMA× | Картографирование науки (Science Mapping)× | |
|---|---|---|
| Область≠ | Наукометрия | Библиометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2009–2021 (methodological combination emerged in the 2010s) | 2000s |
| Автор метода≠ | PRISMA: Moher et al. (2009), updated Page et al. (2021); Co-citation: Henry Small (1973) | Katy Börner, Chaomei Chen, and others |
| Тип≠ | Systematic bibliometric review | Method |
| Основополагающий источник≠ | 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 ↗ | Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. DOI ↗ |
| Другие названия≠ | systematic co-citation review, PRISMA co-citation, co-citation analysis with PRISMA reporting, transparent co-citation analysis | knowledge mapping, domain mapping, research landscape visualization |
| Связанные≠ | 6 | 5 |
| Сводка≠ | 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. | Science mapping is a bibliometric visualization method that creates visual representations of research domains, showing the structure, development, and relationships of scientific fields. Using bibliographic data (citations, keywords, authors, journals), science mapping algorithms generate network diagrams where nodes represent documents, concepts, or authors and edges represent relationships (citation, collaboration, semantic similarity). The resulting maps make invisible intellectual structures visible, enabling researchers to understand field topology, identify emerging areas, and navigate disciplinary landscapes. Pioneered by Börner, Chen, and Boyack in the 2000s, science mapping has become a standard tool in research evaluation and strategic planning. |
| ScholarGateНабор данных ↗ |
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