Institution | Level | Sector | Country | World Region | Region | Output | Excellence with Leadership | Normalized Impact | Normalized Impact Leadership | Scientific Talent Pool | Scientific Leadership | International Collaboration | High Quality Publications | Excellence | Innovative Knowledge | Technological Impact | Patents | Open Access | Not Own Journals | Own Journals | PlumX | Mendeley |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
201 | 0 | Health | BRA | Latin America | Sao Paulo | 42 | 0 | 1.44 | 0.46 | 43 | 6 | 17 | 22 | 3 | 0 | 0 | 0 | 66.67 | 42 | 0 | 20 | 39 |
202 | 0 | Health | BRA | Latin America | Ceara | 17 | 0 | 0.55 | 0.73 | 23 | 3 | 2 | 5 | 1 | 0 | 0 | 0 | 70.59 | 17 | 0 | 5 | 14 |
203 | 0 | Health | BRA | Latin America | Sao Paulo | 14 | 2 | 1.46 | 1.77 | 17 | 10 | 1 | 2 | 2 | 0 | 0 | 0 | 85.71 | 14 | 0 | 3 | 12 |
204 | 0 | Health | BRA | Latin America | Goias | 36 | 0 | 0.22 | 0.21 | 59 | 20 | 8 | 3 | 0 | 0 | 0 | 0 | 94.44 | 36 | 0 | 6 | 29 |
205 | 0 | Health | BRA | Latin America | Sao Paulo | 91 | 0 | 0.83 | 0.47 | 64 | 18 | 39 | 50 | 10 | 4 | 4.60 | 0 | 59.34 | 91 | 0 | 41 | 85 |
206 | 1 | Health | BRA | Latin America | Distrito Federal | 1 | 0 | 0 | 0 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
207 | 1 | Health | BRA | Latin America | Rio de Janeiro | 13 | 1 | 0.76 | 0.66 | 26 | 6 | 3 | 4 | 2 | 0 | 0 | 0 | 38.46 | 13 | 0 | 4 | 12 |
208 | 0 | Health | BRA | Latin America | Sao Paulo | 12 | 2 | 1.19 | 1.19 | 15 | 12 | 0 | 1 | 2 | 0 | 0 | 0 | 91.67 | 12 | 0 | 3 | 10 |
209 | 0 | Health | BRA | Latin America | Sao Paulo | 32 | 0 | 36.89 | 0.59 | 6 | 2 | 28 | 19 | 12 | 1 | 3.13 | 0 | 71.88 | 32 | 0 | 21 | 29 |
210 | 0 | Health | BRA | Latin America | Bahia | 31 | 1 | 1.07 | 1.55 | 102 | 3 | 9 | 15 | 4 | 0 | 0 | 0 | 74.19 | 31 | 0 | 20 | 31 |
211 | 0 | Health | BRA | Latin America | Rio de Janeiro | 165 | 4 | 0.86 | 0.97 | 93 | 66 | 38 | 41 | 11 | 0 | 0 | 0 | 47.88 | 165 | 0 | 54 | 137 |
212 | 1 | Health | BRA | Latin America | Sergipe | 32 | 0 | 1.29 | 0.19 | 38 | 11 | 12 | 10 | 2 | 0 | 0 | 0 | 87.50 | 32 | 0 | 12 | 26 |
213 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 18 | 0 | 0.29 | 0.46 | 2 | 1 | 18 | 1 | 0 | 0 | 0 | 0 | 72.22 | 18 | 0 | 2 | 17 |
214 | 0 | Health | BRA | Latin America | Rio de Janeiro | 3 | 0 | 0.73 | 0.73 | 4 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 2 |
215 | 1 | Health | BRA | Latin America | Rio de Janeiro | 51 | 4 | 1.09 | 1.19 | 30 | 25 | 24 | 25 | 8 | 0 | 0 | 0 | 56.86 | 51 | 0 | 19 | 47 |
216 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 5 | 0 | 1.18 | 0 | 1 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 20 | 5 | 0 | 2 | 3 |
217 | 0 | Health | BRA | Latin America | Rio de Janeiro | 21 | 1 | 1.56 | 2.49 | 8 | 10 | 15 | 15 | 5 | 0 | 0 | 0 | 61.90 | 21 | 0 | 16 | 20 |
218 | 0 | Health | BRA | Latin America | Ceara | 319 | 3 | 1.02 | 0.46 | 469 | 119 | 44 | 79 | 14 | 2 | 0.65 | 0 | 73.35 | 319 | 0 | 101 | 275 |
219 | 0 | Health | BRA | Latin America | Para | 235 | 3 | 0.59 | 0.58 | 393 | 103 | 66 | 106 | 13 | 2 | 0.87 | 0 | 68.09 | 235 | 0 | 86 | 208 |
220 | 0 | Health | BRA | Latin America | Rio de Janeiro | 49 | 2 | 2.84 | 0.96 | 64 | 18 | 7 | 13 | 12 | 1 | 2.04 | 0 | 79.59 | 49 | 0 | 16 | 45 |
221 | 0 | Health | BRA | Latin America | Sao Paulo | 6 | 0 | 0.03 | 0 | 2 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 100 | 6 | 0 | 0 | 6 |
222 | 0 | Health | BRA | Latin America | Parana | 62 | 0 | 0.43 | 0.23 | 112 | 30 | 10 | 7 | 2 | 0 | 0 | 0 | 80.65 | 62 | 0 | 7 | 52 |
223 | 0 | Health | BRA | Latin America | Sao Paulo | 13 | 0 | 0.53 | 0 | 12 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 84.62 | 13 | 0 | 5 | 11 |
224 | 0 | Health | BRA | Latin America | Sao Paulo | 25 | 0 | 0.69 | 0.37 | 39 | 8 | 2 | 6 | 2 | 0 | 0 | 0 | 88 | 25 | 0 | 11 | 21 |
225 | 0 | Health | BRA | Latin America | Sao Paulo | 131 | 3 | 1.87 | 0.83 | 168 | 54 | 62 | 60 | 15 | 2 | 1.54 | 0 | 71.76 | 131 | 0 | 67 | 124 |
226 | 0 | Health | BRA | Latin America | Minas Gerais | 7 | 0 | 0.83 | 0 | 3 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 57.14 | 7 | 0 | 2 | 7 |
227 | 0 | Health | BRA | Latin America | Ceara | 32 | 1 | 0.78 | 0.40 | 38 | 17 | 4 | 4 | 5 | 0 | 0 | 0 | 81.25 | 32 | 0 | 10 | 26 |
228 | 0 | Health | BRA | Latin America | Sao Paulo | 8 | 0 | 0.51 | 0 | 3 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 50 | 8 | 0 | 1 | 8 |
229 | 0 | Health | BRA | Latin America | Sao Paulo | 52 | 3 | 1.41 | 1.03 | 27 | 39 | 9 | 17 | 7 | 4 | 7.69 | 0 | 65.38 | 52 | 0 | 20 | 51 |
230 | 1 | Health | BRA | Latin America | Sao Paulo | 158 | 6 | 1.36 | 0.82 | 191 | 75 | 51 | 60 | 17 | 3 | 1.91 | 0 | 64.56 | 158 | 0 | 70 | 145 |
231 | 0 | Health | BRA | Latin America | Pernambuco | 63 | 3 | 1.08 | 0.81 | 93 | 29 | 26 | 26 | 9 | 0 | 0 | 0 | 65.08 | 63 | 0 | 28 | 55 |
232 | 0 | Health | BRA | Latin America | Bahia | 1 | 0 | 0 | 0 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 0 |
233 | 0 | Health | BRA | Latin America | Amazonas | 39 | 0 | 1.44 | 0.37 | 27 | 7 | 11 | 18 | 7 | 0 | 0 | 0 | 92.31 | 39 | 0 | 14 | 32 |
234 | 0 | Health | BRA | Latin America | Minas Gerais | 99 | 0 | 1.03 | 0.35 | 124 | 40 | 37 | 42 | 3 | 3 | 3.03 | 0 | 56.57 | 99 | 0 | 39 | 90 |
235 | 0 | Health | BRA | Latin America | Para | 14 | 0 | 0.33 | 0.16 | 29 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 64.29 | 14 | 0 | 6 | 10 |
236 | 0 | Health | BRA | Latin America | Pernambuco | 59 | 0 | 2.31 | 0.26 | 38 | 5 | 39 | 38 | 6 | 3 | 5.08 | 0 | 71.19 | 59 | 0 | 30 | 55 |
237 | 0 | Health | BRA | Latin America | Amazonas | 485 | 16 | 1.37 | 1.63 | 526 | 185 | 211 | 292 | 63 | 8 | 1.66 | 0 | 85.57 | 485 | 0 | 278 | 441 |
238 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 6 | 0 | 0.74 | 0 | 11 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 66.67 | 6 | 0 | 5 | 6 |
239 | 0 | Health | BRA | Latin America | Minas Gerais | 348 | 1 | 0.76 | 0.41 | 231 | 85 | 99 | 161 | 27 | 9 | 2.62 | 9 | 53.74 | 348 | 0 | 140 | 323 |
240 | 0 | Health | BRA | Latin America | Amazonas | 13 | 0 | 0.69 | 0.14 | 15 | 3 | 2 | 2 | 1 | 0 | 0 | 0 | 100 | 13 | 0 | 5 | 13 |
241 | 0 | Health | BRA | Latin America | Sao Paulo | 71 | 0 | 0.66 | 0.33 | 62 | 14 | 36 | 23 | 3 | 0 | 0 | 0 | 43.66 | 71 | 0 | 26 | 68 |
242 | 0 | Health | BRA | Latin America | Amazonas | 85 | 0 | 0.71 | 0.44 | 61 | 32 | 23 | 24 | 4 | 0 | 0 | 0 | 85.88 | 85 | 0 | 39 | 79 |
243 | 0 | Health | BRA | Latin America | Amazonas | 71 | 0 | 2.92 | 0.35 | 101 | 32 | 16 | 45 | 7 | 4 | 5.63 | 0 | 88.73 | 71 | 0 | 34 | 66 |
244 | 0 | Health | BRA | Latin America | Minas Gerais | 206 | 2 | 0.57 | 0.48 | 240 | 63 | 43 | 54 | 11 | 1 | 0.49 | 0 | 61.65 | 206 | 0 | 67 | 175 |
245 | 0 | Health | BRA | Latin America | Distrito Federal | 15 | 1 | 0.60 | 1.02 | 34 | 5 | 2 | 3 | 1 | 1 | 7.14 | 0 | 80 | 15 | 0 | 3 | 13 |
246 | 0 | Health | BRA | Latin America | Rio de Janeiro | 12,653 | 517 | 1.34 | 0.87 | 10,372 | 6,017 | 4,577 | 6,425 | 1,386 | 182 | 1.47 | 50 | 75.22 | 11,882 | 3 | 5,925 | 11,186 |
247 | 0 | Health | BRA | Latin America | Sao Paulo | 124 | 0 | 1.07 | 0.16 | 71 | 36 | 83 | 52 | 9 | 2 | 1.61 | 0 | 60.48 | 124 | 0 | 49 | 113 |
248 | 0 | Health | BRA | Latin America | Sao Paulo | 31 | 1 | 4.77 | 8.21 | 4 | 1 | 26 | 25 | 17 | 1 | 3.23 | 0 | 61.29 | 31 | 0 | 15 | 30 |
249 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 478 | 8 | 1.75 | 0.57 | 517 | 178 | 143 | 188 | 34 | 0 | 0 | 0 | 66.95 | 478 | 0 | 179 | 419 |
250 | 0 | Health | BRA | Latin America | Sao Paulo | 211 | 7 | 0.71 | 0.64 | 238 | 109 | 62 | 101 | 17 | 6 | 2.86 | 2 | 63.98 | 211 | 0 | 93 | 191 |