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| Meta-analisis Bantuan VOSviewer× | Analisis Ko-Sitan× | |
|---|---|---|
| Bidang≠ | Saintometrik | Bibliometrik |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2010s (integration practice emerged after VOSviewer release in 2010) | 1973 |
| Pengasas≠ | Workflow combining Glass (1976) meta-analysis with van Eck & Waltman (2010) VOSviewer | Henry Small |
| Jenis≠ | Tool-assisted evidence synthesis workflow | Method |
| Sumber perintis≠ | van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. 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 | bibliometric-enhanced meta-analysis, VOSviewer meta-analysis workflow, science-mapping assisted meta-analysis, network-visualisation meta-analysis | co-citation mapping, historiograph, direct citation, citation pair analysis |
| Berkaitan | 5 | 5 |
| Ringkasan≠ | VOSviewer-assisted meta-analysis integrates the bibliometric network visualisation capabilities of VOSviewer into the literature identification and mapping phases of a standard meta-analysis. Before the statistical pooling of effect sizes begins, VOSviewer is used to visualise co-citation networks, keyword co-occurrence maps, and publication clusters, helping researchers comprehensively delineate the research field and identify all eligible primary studies for quantitative synthesis. | 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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