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| Tinjauan Pemetaan Sistematik× | Analisis Gandengan Bibliografis× | |
|---|---|---|
| Bidang | Bibliometrik | Bibliometrik |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2005 | 1963 |
| Pengasas≠ | Arksey & O'Malley (2005); Joanna Briggs Institute methodology | Melvin M. Kessler |
| Jenis | Method | Method |
| Sumber perintis≠ | Arksey, H., & O'Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. DOI ↗ | Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(3), 123–131. DOI ↗ |
| Alias≠ | scoping review, systematic mapping, literature mapping, evidence mapping | document coupling, bibliographic similarity |
| Berkaitan≠ | 4 | 5 |
| Ringkasan≠ | A systematic mapping review (also called a 'scoping review') is a literature review methodology that aims to comprehensively identify and categorize the published evidence on a topic without necessarily assessing the quality of individual studies or synthesizing findings quantitatively. Developed by Arksey and O'Malley (2005) and formalized by the Joanna Briggs Institute, systematic mapping reviews chart the landscape of evidence: what has been studied, what are the research gaps, and how is evidence distributed across study types, populations, and outcomes. Unlike systematic reviews that answer specific research questions with rigorous study selection and synthesis, mapping reviews provide a broad overview of the research terrain, making them ideal for defining scope, identifying knowledge gaps, and guiding future research priorities. | Bibliographic coupling is a method that identifies intellectual relationships between documents by measuring their shared references. Two papers are considered 'coupled' when they cite the same sources, indicating they address related research questions or draw from the same conceptual foundations. Introduced by Kessler in 1963, this approach enables researchers to map knowledge domains and discover thematically similar publications without relying on subject cataloging or keywords. |
| ScholarGateSet data ↗ |
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