1 | Health | 2.17% | |
2 | Day | 1.45% | |
3 | Alzheimer’s | 1.45% | |
4 | Drug | 1.45% | |
5 | University | 1.45% | |
6 | Study | 1.45% | |
7 | Progression | 1.45% | |
8 | COVID-19 | 1.45% | |
9 | Liver | 1.45% | |
10 | Potential | 1.45% | |
11 | Delay | 0.72% | |
12 | |Zipaquira| | 0.72% | |
13 | Pyoderma | 0.72% | |
14 | EXPERT | 0.72% | |
15 | Failure | 0.72% | |
16 | Meta-Analysis | 0.72% | |
17 | Canterbury | 0.72% | |
18 | (Fiscal | 0.72% | |
19 | Cutaneous | 0.72% | |
20 | Constitucional | 0.72% | |
21 | Surgical | 0.72% | |
22 | June | 0.72% | |
23 | Japan | 0.72% | |
24 | Ophthalmic | 0.72% | |
25 | Global | 0.72% | |
26 | Could | 0.72% | |
27 | Times | 0.72% | |
28 | Thymoma | 0.72% | |
29 | Setting | 0.72% | |
30 | Reverses | 0.72% | |
31 | Video | 0.72% | |
32 | National | 0.72% | |
33 | Get | 0.72% | |
34 | Videos | 0.72% | |
35 | Elevating | 0.72% | |
36 | Piezo | 0.72% | |
37 | Systematic | 0.72% | |
38 | Delhis | 0.72% | |
39 | Multiple | 0.72% | |
40 | Schestakow | 0.72% | |
41 | Identifies | 0.72% | |
42 | Precursors | 0.72% | |
43 | Actuator | 0.72% | |
44 | Vitamin | 0.72% | |
45 | Patients | 0.72% | |
46 | Popular | 0.72% | |
47 | ALS | 0.72% | |
48 | Shifts | 0.72% | |
49 | Affecting | 0.72% | |
50 | Eat | 0.72% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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