Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Map-uwanja wa Tathmini ya Upeo× | Uchanganuzi wa Bibliometriki× | |
|---|---|---|
| Nyanja | Saintometriki | Saintometriki |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2005 (foundational framework); field-mapping purpose formalised c. 2015–2018 | 1969 (term coined); practice dates to 1920s–1930s |
| Mwanzilishi≠ | Arksey & O'Malley (scoping review framework); field-mapping purpose formalised by Munn et al. and Peters et al. | Alan Pritchard (coined term); earlier quantitative work by Paul Otlet (1934) and S. C. Bradford (1934) |
| Aina≠ | Evidence synthesis — systematic review variant | Quantitative literature analysis |
| Chanzo asilia≠ | Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic review and scoping review approach. BMC Medical Research Methodology, 18, 143. DOI ↗ | Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25(4), 348–349. link ↗ |
| Majina mbadala | field-mapping scoping study, evidence-mapping scoping review, field map review, scoping review for field mapping | bibliometrics, bibliometric study, bibliometric mapping, publication analysis |
| Zinazohusiana | 6 | 6 |
| Muhtasari≠ | A field-mapping scoping review is a purposive variant of the scoping review in which the overarching goal is to chart the conceptual and empirical landscape of a research field — identifying what has been studied, by whom, using which methods, and where knowledge gaps remain. It follows the Arksey and O'Malley scoping framework but is explicitly oriented toward producing a structured map of a field rather than answering a focused clinical or policy question. | 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. |
| ScholarGateSeti ya data ↗ |
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