เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การทบทวนขอบเขตแบบใช้ VOSviewer× | การทบทวนวรรณกรรมอย่างเป็นระบบ (Systematic Literature Review× | |
|---|---|---|
| สาขาวิชา | วิทยาศาสตรมิติ | วิทยาศาสตรมิติ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 2010s–present | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| ผู้ริเริ่ม≠ | Combination: Arksey & O'Malley (scoping review, 2005); van Eck & Waltman (VOSviewer, 2010) | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| ประเภท≠ | Hybrid review methodology | Evidence synthesis methodology |
| แหล่งต้นตำรับ≠ | van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. DOI ↗ | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| ชื่อเรียกอื่น | VOSviewer scoping review, bibliometric-enhanced scoping review, VOS-assisted scoping review, science-mapping scoping review | SLR, systematic review, evidence synthesis review, structured literature review |
| ที่เกี่ยวข้อง | 5 | 5 |
| สรุป≠ | A VOSviewer-assisted scoping review integrates the structured, broad-mapping purpose of a scoping review with VOSviewer's bibliometric visualization capabilities. After standard database searching and eligibility screening, the retained records are exported to VOSviewer, which produces co-authorship, keyword co-occurrence, and citation-based cluster maps. These visual outputs guide thematic synthesis, reveal intellectual structure, and make the scope of a field immediately transparent. | 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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