विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| वैज्ञानिकता विश्लेषण× | व्यवस्थित साहित्य समीक्षा× | |
|---|---|---|
| क्षेत्र | विज्ञानमिति | विज्ञानमिति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1969 (term); 1963 (Price's foundational work) | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| प्रवर्तक≠ | V. V. Nalimov and Z. M. Mulchenko (term coined); Derek J. de Solla Price (foundational methods) | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| प्रकार≠ | Quantitative literature analysis | Evidence synthesis methodology |
| मौलिक स्रोत≠ | Nalimov, V. V., & Mulchenko, Z. M. (1969). Naukometriya: Izucheniye razvitiya nauki kak informatsionnogo protsessa [Scientometrics: The Study of the Development of Science as an Information Process]. Nauka. link ↗ | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| उपनाम | scientometrics, science of science, quantitative science studies, research evaluation analysis | SLR, systematic review, evidence synthesis review, structured literature review |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | Scientometric analysis applies statistical and computational methods to publication and citation data to measure the growth, structure, and impact of scientific fields. Drawing on databases such as Web of Science, Scopus, or OpenAlex, it quantifies output trends, identifies leading authors and institutions, maps intellectual networks, and evaluates research impact — transforming large bibliographic corpora into evidence-based portraits of how knowledge develops and spreads. | 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. |
| ScholarGateडेटासेट ↗ |
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