Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Библиометрический анализ× | Систематический обзор литературы× | |
|---|---|---|
| Область | Наукометрия | Наукометрия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1969 (term coined); practice dates to 1920s–1930s | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| Автор метода≠ | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| Тип≠ | Quantitative literature analysis | Evidence synthesis methodology |
| Основополагающий источник≠ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| Другие названия | bibliometrics, bibliometric study, bibliometric mapping, publication analysis | SLR, systematic review, evidence synthesis review, structured literature review |
| Связанные≠ | 6 | 5 |
| Сводка≠ | Bibliometric analysis applies statistical and mathematical methods to bibliographic records — publications, citations, authors, journals, and keywords — to measure and map the structure, output, and intellectual evolution of a research field. It is widely used to identify influential works, prolific authors, productive journals, collaboration networks, and emerging research themes across any academic discipline. | A systematic literature review (SLR) is a structured, reproducible method for identifying, appraising, and synthesizing all relevant studies on a research question. Unlike a narrative review, it follows an explicit, pre-specified protocol — from database search strings through inclusion criteria to data extraction — so that the process is transparent, auditable, and replicable by other researchers. It is widely used in medicine, education, software engineering, and the social sciences to produce the most comprehensive possible evidence base on a topic. |
| ScholarGateНабор данных ↗ |
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