| 1 | Health | 5.56% | |
| 2 | Day | 3.7% | |
| 3 | COVID-19 | 3.7% | |
| 4 | Liver | 3.7% | |
| 5 | (Fiscal | 1.85% | |
| 6 | Constitucional | 1.85% | |
| 7 | June | 1.85% | |
| 8 | Japan | 1.85% | |
| 9 | Ophthalmic | 1.85% | |
| 10 | Global | 1.85% | |
| 11 | Could | 1.85% | |
| 12 | Times | 1.85% | |
| 13 | National | 1.85% | |
| 14 | Videos | 1.85% | |
| 15 | Elevating | 1.85% | |
| 16 | Piezo | 1.85% | |
| 17 | Delhis | 1.85% | |
| 18 | Schestakow | 1.85% | |
| 19 | Actuator | 1.85% | |
| 20 | Popular | 1.85% | |
| 21 | Shifts | 1.85% | |
| 22 | Eat | 1.85% | |
| 23 | Corte | 1.85% | |
| 24 | Spike | 1.85% | |
| 25 | Study | 1.85% | |
| 26 | Hito | 1.85% | |
| 27 | Among | 1.85% | |
| 28 | Database | 1.85% | |
| 29 | Surgery | 1.85% | |
| 30 | Bangkok | 1.85% | |
| 31 | Patients | 1.85% | |
| 32 | Thailand | 1.85% | |
| 33 | Conversation | 1.85% | |
| 34 | Digital | 1.85% | |
| 35 | Colombia | 1.85% | |
| 36 | Fin | 1.85% | |
| 37 | Claims | 1.85% | |
| 38 | Technology | 1.85% | |
| 39 | Older | 1.85% | |
| 40 | Surgical | 1.85% | |
| 41 | FDA | 1.85% | |
| 42 | Impact | 1.85% | |
| 43 | Hindustan | 1.85% | |
| 44 | Pandemics | 1.85% | |
| 45 | Fatty | 1.85% | |
| 46 | Space-Tested | 1.85% | |
| 47 | Mendoza | 1.85% | |
| 48 | Doctor | 1.85% | |
| 49 | Metabolic | 1.85% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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