เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์บรรณสารปริมาณ (Scientometric Analysis)× | การทบทวนวรรณกรรมอย่างเป็นระบบ (Systematic Literature Review× | |
|---|---|---|
| สาขาวิชา | วิทยาศาสตรมิติ | วิทยาศาสตรมิติ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1969 (term); 1963 (Price's foundational work) | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| ผู้ริเริ่ม≠ | 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) |
| ประเภท≠ | Quantitative literature analysis | Evidence synthesis methodology |
| แหล่งต้นตำรับ≠ | 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 ↗ |
| ชื่อเรียกอื่น | scientometrics, science of science, quantitative science studies, research evaluation analysis | SLR, systematic review, evidence synthesis review, structured literature review |
| ที่เกี่ยวข้อง≠ | 6 | 5 |
| สรุป≠ | 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. |
| ScholarGateชุดข้อมูล ↗ |
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