11 March 2020 - Wednesday
 | Portugal Twitter Trends (11/03/2020) |
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error_outline Depending on the time zone of the region you are linking to, showing 11/03/2020 Portugal Twitter trends list. (GMT -04:00 America/New_York)
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trending_upHighest-help_outlineThe top order in which the word appears
av_timerTT Time-help_outlineTotal time it appeared in the trend topic list
sortDaily Rank-help_outlineRank of trend duration by day
volume_upVolume-help_outlineHighest volume reached during the day
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Highest-help_outlineThe top order in which the word appears
TT Time-help_outlineTotal time it appeared in the trend topic list
Daily Rank-help_outlineRank of trend duration by day
Volume-help_outlineHighest volume reached during the day
Word Not Found!
00:08
| 1) | #BBBB20 |
| 212470 | |
| 2) | #nbanasporttv |
| - | |
| 3) | Reitoria da Universidade |
| - | |
| 4) | Corona |
| 1439286 | |
| 5) | COVID-19 |
| 1305170 | |
| 6) | Punta |
| 31814 | |
| 7) | #COVID19PT |
| - | |
| 8) | páscoa |
| - | |
| 9) | Itália |
| 359502 | |
| 10) | Xtravel |
| - |
00:33
| 1) | #BBBB20 |
| 218081 | |
| 2) | #nbanasporttv |
| - | |
| 3) | Reitoria da Universidade |
| - | |
| 4) | corona |
| 1464897 | |
| 5) | COVID-19 |
| 1316186 | |
| 6) | Punta |
| 32215 | |
| 7) | #COVID19PT |
| - | |
| 8) | páscoa |
| - | |
| 9) | Itália |
| 361683 | |
| 10) | Xtravel |
| - |
01:08
| 1) | #BBBB20 |
| 222693 | |
| 2) | #nbanasporttv |
| - | |
| 3) | Reitoria da Universidade |
| - | |
| 4) | corona |
| 1473261 | |
| 5) | COVID-19 |
| 1305913 | |
| 6) | Punta |
| 32024 | |
| 7) | #COVID19PT |
| - | |
| 8) | páscoa |
| - | |
| 9) | Itália |
| 358943 | |
| 10) | Xtravel |
| - |
01:35
| 1) | #BBBB20 |
| 225141 | |
| 2) | #nbanasporttv |
| - | |
| 3) | O Tottenham |
| - | |
| 4) | Corona |
| 1504889 | |
| 5) | COVID-19 |
| 1324790 | |
| 6) | punta |
| 32290 | |
| 7) | #COVID19PT |
| - | |
| 8) | páscoa |
| - | |
| 9) | Itália |
| 361234 | |
| 10) | XTravel |
| - |
02:05
| 1) | #BBBB20 |
| 226944 | |
| 2) | #nbanasporttv |
| - | |
| 3) | O Tottenham |
| - | |
| 4) | Corona |
| 1509498 | |
| 5) | COVID-19 |
| 1311761 | |
| 6) | punta |
| 31947 | |
| 7) | #COVID19PT |
| - | |
| 8) | Páscoa |
| - | |
| 9) | Itália |
| 356078 | |
| 10) | XTravel |
| - |
02:35
| 1) | #BBBB20 |
| 228271 | |
| 2) | #nbanasporttv |
| - | |
| 3) | O Tottenham |
| - | |
| 4) | Corona |
| 1545943 | |
| 5) | covid-19 |
| 1328757 | |
| 6) | punta |
| 32203 | |
| 7) | #COVID19PT |
| - | |
| 8) | Páscoa |
| - | |
| 9) | Itália |
| 359750 | |
| 10) | XTravel |
| - |
03:05
| 1) | #BBBB20 |
| 228924 | |
| 2) | #nbanasporttv |
| - | |
| 3) | O Tottenham |
| - | |
| 4) | Corona |
| 1552917 | |
| 5) | Covid-19 |
| 1308594 | |
| 6) | Punta |
| 31797 | |
| 7) | #COVID19PT |
| - | |
| 8) | Páscoa |
| - | |
| 9) | Itália |
| 353476 | |
| 10) | XTravel |
| - |
03:35
| 1) | #BBBB20 |
| 229533 | |
| 2) | #nbanasporttv |
| - | |
| 3) | O Tottenham |
| - | |
| 4) | Corona |
| 1592238 | |
| 5) | Covid-19 |
| 1329527 | |
| 6) | Punta |
| 32145 | |
| 7) | #covid19pt |
| - | |
| 8) | Páscoa |
| - | |
| 9) | Itália |
| 358332 | |
| 10) | xtravel |
| - |
04:05
| 1) | #BBBB20 |
| 229987 | |
| 2) | #nbanasporttv |
| - | |
| 3) | O Tottenham |
| - | |
| 4) | Corona |
| 1594280 | |
| 5) | Covid-19 |
| 1309172 | |
| 6) | Punta |
| 31975 | |
| 7) | Páscoa |
| - | |
| 8) | Itália |
| 352106 | |
| 9) | XTravel |
| - | |
| 10) | #covid2019 |
| 360371 |
04:35
| 1) | Cofina |
| - | |
| 2) | Corona |
| 1628539 | |
| 3) | Covid-19 |
| 1329831 | |
| 4) | Punta |
| 32431 | |
| 5) | Páscoa |
| - | |
| 6) | Itália |
| 357443 | |
| 7) | XTravel |
| - | |
| 8) | #covid2019 |
| 364573 | |
| 9) | Atalanta |
| 112529 | |
| 10) | skype |
| 29085 |
05:05
| 1) | Cofina |
| - | |
| 2) | Corona |
| 1623837 | |
| 3) | Covid-19 |
| 1305369 | |
| 4) | #COVID19PT |
| - | |
| 5) | punta |
| 32186 | |
| 6) | Páscoa |
| - | |
| 7) | Itália |
| 349475 | |
| 8) | Xtravel |
| - | |
| 9) | #covid2019 |
| 352672 | |
| 10) | Atalanta |
| 113295 |
05:35
| 1) | Cofina |
| - | |
| 2) | Corona |
| 1657494 | |
| 3) | Covid-19 |
| 1325865 | |
| 4) | Punta |
| 32747 | |
| 5) | Páscoa |
| - | |
| 6) | Itália |
| 355665 | |
| 7) | XTRAVEL |
| - | |
| 8) | Atalanta |
| 114530 | |
| 9) | Skype |
| 29332 | |
| 10) | Leipzig |
| 103437 |
06:05
| 1) | Cofina |
| - | |
| 2) | #CODVID19 |
| 26919 | |
| 3) | Corona |
| 1652792 | |
| 4) | COVID-19 |
| 1299819 | |
| 5) | Punta |
| 32425 | |
| 6) | Páscoa |
| - | |
| 7) | Itália |
| 347156 | |
| 8) | XTRAVEL |
| - | |
| 9) | #COVID2019 |
| 341984 | |
| 10) | atalanta |
| 114953 |
06:35
| 1) | Cofina |
| - | |
| 2) | #CODVID19 |
| 28431 | |
| 3) | Corona |
| 1687687 | |
| 4) | punta |
| 33015 | |
| 5) | Páscoa |
| - | |
| 6) | Itália |
| 353944 | |
| 7) | XTRAVEL |
| - | |
| 8) | #COVID2019 |
| 345885 | |
| 9) | atalanta |
| 116181 | |
| 10) | skype |
| 29534 |
07:05
| 1) | Cofina |
| - | |
| 2) | Corona |
| 1671188 | |
| 3) | COVID-19 |
| 1294014 | |
| 4) | punta |
| 32659 | |
| 5) | Páscoa |
| - | |
| 6) | Itália |
| 344631 | |
| 7) | Xtravel |
| - | |
| 8) | Atalanta |
| 116286 | |
| 9) | Skype |
| 28837 | |
| 10) | Leipzig |
| 104267 |
07:30
| 1) | Cofina |
| - | |
| 2) | #CODVID19 |
| 31566 | |
| 3) | Corona |
| 1701643 | |
| 4) | COVID-19 |
| 1317942 | |
| 5) | Punta |
| 33218 | |
| 6) | Páscoa |
| - | |
| 7) | Itália |
| 351480 | |
| 8) | Xtravel |
| - | |
| 9) | Atalanta |
| 117654 | |
| 10) | skype |
| 29356 |
08:05
| 1) | Cofina |
| - | |
| 2) | #CODVID19 |
| 33960 | |
| 3) | Jeová |
| - | |
| 4) | COVID-19 |
| 1288051 | |
| 5) | Corona |
| 1688888 | |
| 6) | páscoa |
| - | |
| 7) | Punta |
| 32768 | |
| 8) | Itália |
| 342695 | |
| 9) | Xtravel |
| - | |
| 10) | #COVID2019 |
| 309071 |
08:35
| 1) | Cofina |
| - | |
| 2) | Ovar |
| - | |
| 3) | #CODVID19 |
| 36852 | |
| 4) | Jeová |
| - | |
| 5) | COVID-19 |
| 1321710 | |
| 6) | Corona |
| 1729047 | |
| 7) | #COVID19PT |
| - | |
| 8) | punta |
| 33554 | |
| 9) | Páscoa |
| - | |
| 10) | Itália |
| 351917 |
09:06
| 1) | Cofina |
| - | |
| 2) | #CODVID19 |
| 39092 | |
| 3) | ovar |
| - | |
| 4) | Jeová |
| - | |
| 5) | Covid-19 |
| 1291945 | |
| 6) | Corona |
| 1711008 | |
| 7) | Itália |
| 336218 | |
| 8) | Páscoa |
| - | |
| 9) | Punta |
| 33076 | |
| 10) | Xtravel |
| - |
09:36
| 1) | Cofina |
| - | |
| 2) | #CODVID19 |
| 42954 | |
| 3) | ovar |
| - | |
| 4) | jeová |
| - | |
| 5) | Covid-19 |
| 1333113 | |
| 6) | Corona |
| 1756611 | |
| 7) | Itália |
| 346236 | |
| 8) | Páscoa |
| - | |
| 9) | Punta |
| 33818 | |
| 10) | Xtravel |
| - |
10:06
| 1) | Cofina |
| - | |
| 2) | Ministério Público |
| - | |
| 3) | #CODVID19 |
| 46352 | |
| 4) | ovar |
| - | |
| 5) | jeová |
| - | |
| 6) | COVID-19 |
| 1310451 | |
| 7) | Corona |
| 1742770 | |
| 8) | Itália |
| 335189 | |
| 9) | Punta |
| 33516 | |
| 10) | Páscoa |
| - |
10:36
| 1) | #CODVID19 |
| 50343 | |
| 2) | Cofina |
| - | |
| 3) | ministério público |
| - | |
| 4) | jeová |
| - | |
| 5) | Covid-19 |
| 1357925 | |
| 6) | #COVID19PT |
| - | |
| 7) | Corona |
| 1790853 | |
| 8) | Itália |
| 345109 | |
| 9) | Páscoa |
| - | |
| 10) | Punta |
| 34300 |
11:06
| 1) | Bruno de Carvalho |
| - | |
| 2) | #CODVID19 |
| 53102 | |
| 3) | Cofina |
| - | |
| 4) | Covid-19 |
| 1330921 | |
| 5) | Corona |
| 1776442 | |
| 6) | Itália |
| 336907 | |
| 7) | Páscoa |
| - | |
| 8) | punta |
| 33943 | |
| 9) | XTravel |
| - | |
| 10) | #COVID2019 |
| 263446 |
11:36
| 1) | Bruno de Carvalho |
| - | |
| 2) | #CODVID19 |
| 56683 | |
| 3) | cofina |
| - | |
| 4) | Santa Maria |
| - | |
| 5) | Covid-19 |
| 1376338 | |
| 6) | Corona |
| 1826089 | |
| 7) | Itália |
| 347590 | |
| 8) | Páscoa |
| - | |
| 9) | Punta |
| 34612 | |
| 10) | XTravel |
| - |
12:06
| 1) | Bruno de Carvalho |
| - | |
| 2) | #CODVID19 |
| 59775 | |
| 3) | cofina |
| - | |
| 4) | Ministério Público |
| - | |
| 5) | Santa Maria |
| - | |
| 6) | Covid-19 |
| 1353705 | |
| 7) | Corona |
| 1809995 | |
| 8) | Itália |
| 340319 | |
| 9) | Páscoa |
| - | |
| 10) | Punta |
| 34134 |
12:36
| 1) | Bruno de Carvalho |
| - | |
| 2) | #CODVID19 |
| 63956 | |
| 3) | Cofina |
| - | |
| 4) | Santa Maria |
| - | |
| 5) | Carcavelos |
| - | |
| 6) | Ministério Público |
| - | |
| 7) | Covid-19 |
| 1401969 | |
| 8) | corona |
| 1861688 | |
| 9) | Itália |
| 350676 | |
| 10) | Páscoa |
| - |
13:06
| 1) | Alcochete |
| - | |
| 2) | Bruno de Carvalho |
| - | |
| 3) | Organização Mundial de Saúde |
| - | |
| 4) | #codvid19 |
| 67853 | |
| 5) | Carcavelos |
| - | |
| 6) | Santa Maria |
| - | |
| 7) | Ministério Público |
| - | |
| 8) | COVID-19 |
| 1407116 | |
| 9) | Corona |
| 1849855 | |
| 10) | Itália |
| 341023 |
13:36
| 1) | Carcavelos |
| - | |
| 2) | Alcochete |
| - | |
| 3) | Organização Mundial de Saúde |
| - | |
| 4) | Bruno de Carvalho |
| - | |
| 5) | Santa Maria |
| - | |
| 6) | #COVID19PT |
| - | |
| 7) | Corona |
| 1904868 | |
| 8) | Itália |
| 353746 | |
| 9) | Páscoa |
| - | |
| 10) | Punta |
| 35399 |
14:01
| 1) | Carcavelos |
| - | |
| 2) | organização mundial de saúde |
| - | |
| 3) | alcochete |
| - | |
| 4) | #codvid19 |
| 75991 | |
| 5) | Pandemia |
| 189520 | |
| 6) | Santa Maria |
| - | |
| 7) | ministério público |
| - | |
| 8) | Covid-19 |
| 1449510 | |
| 9) | Corona |
| 1884470 | |
| 10) | Itália |
| 345770 |
14:36
| 1) | Carcavelos |
| - | |
| 2) | Pandemia |
| 225307 | |
| 3) | #CODVID19 |
| 80998 | |
| 4) | alcochete |
| - | |
| 5) | Somos Portugal |
| - | |
| 6) | Universidade de Aveiro |
| - | |
| 7) | Santa Maria |
| - | |
| 8) | Continente |
| 13233 | |
| 9) | Covid-19 |
| 1507508 | |
| 10) | Corona |
| 1952119 |
15:02
| 1) | Carcavelos |
| - | |
| 2) | Pandemia |
| 244662 | |
| 3) | #CODVID19 |
| 83895 | |
| 4) | Somos Portugal |
| - | |
| 5) | Alcochete |
| - | |
| 6) | Universidade de Aveiro |
| - | |
| 7) | Dortmund |
| 75276 | |
| 8) | Santa Maria |
| - | |
| 9) | Continente |
| 13053 | |
| 10) | Covid-19 |
| 1490696 |
15:32
| 1) | Carcavelos |
| - | |
| 2) | #CODVID19 |
| 88355 | |
| 3) | Pandemia |
| 269978 | |
| 4) | Universidade de Aveiro |
| - | |
| 5) | Somos Portugal |
| - | |
| 6) | Alcochete |
| - | |
| 7) | Dortmund |
| 82155 | |
| 8) | Nilton |
| - | |
| 9) | Continente |
| 13476 | |
| 10) | Santa Maria |
| - |
16:02
| 1) | Carcavelos |
| - | |
| 2) | #CODVID19 |
| 91423 | |
| 3) | Anfield |
| 54618 | |
| 4) | Nilton |
| - | |
| 5) | Pandemia |
| 287853 | |
| 6) | Universidade de Aveiro |
| - | |
| 7) | Dortmund |
| 88445 | |
| 8) | Quarentena |
| 60397 | |
| 9) | Somos Portugal |
| - | |
| 10) | #COVID2019pt |
| - |
16:30
| 1) | Carcavelos |
| - | |
| 2) | #CODVID19 |
| 95325 | |
| 3) | #ChampionsEleven |
| - | |
| 4) | Nilton |
| - | |
| 5) | Pandemia |
| 307713 | |
| 6) | #COVID2019pt |
| - | |
| 7) | Dortmund |
| 94434 | |
| 8) | universidade de aveiro |
| - | |
| 9) | Quarentena |
| 64286 | |
| 10) | Continente |
| 13605 |
17:05
| 1) | Carcavelos |
| - | |
| 2) | António Costa |
| - | |
| 3) | Atlético |
| - | |
| 4) | #ChampionsEleven |
| - | |
| 5) | #CODVID19 |
| - | |
| 6) | Anfield |
| - | |
| 7) | Setembro |
| - | |
| 8) | Dortmund |
| - | |
| 9) | ISMAI |
| - | |
| 10) | Pandemia |
| - |
17:30
| 1) | Carcavelos |
| - | |
| 2) | Atlético |
| 136265 | |
| 3) | António Costa |
| - | |
| 4) | Marina |
| 35812 | |
| 5) | Oblak |
| 29963 | |
| 6) | Diego Costa |
| - | |
| 7) | #CODVID19 |
| 101717 | |
| 8) | Dortmund |
| 118507 | |
| 9) | Setembro |
| - | |
| 10) | Anfield |
| 70184 |
18:05
| 1) | Liverpool |
| 267235 | |
| 2) | Atlético |
| 171039 | |
| 3) | Carcavelos |
| - | |
| 4) | #ChampionsEleven |
| - | |
| 5) | Oblak |
| 46181 | |
| 6) | António Costa |
| - | |
| 7) | Rodrigo Guedes de Carvalho |
| - | |
| 8) | Marina |
| 34895 | |
| 9) | Anfield |
| 79195 | |
| 10) | diego costa |
| - |
18:35
| 1) | Liverpool |
| 428947 | |
| 2) | Atlético |
| 253541 | |
| 3) | Adrian |
| 105361 | |
| 4) | #ChampionsEleven |
| - | |
| 5) | Oblak |
| 67051 | |
| 6) | Carcavelos |
| - | |
| 7) | Anfield |
| 124252 | |
| 8) | Simeone |
| 56277 | |
| 9) | Llorente |
| 69890 | |
| 10) | Alisson |
| 17547 |
19:07
| 1) | Liverpool |
| 589344 | |
| 2) | Adrian |
| 144697 | |
| 3) | Simeone |
| 103232 | |
| 4) | Anfield |
| 191578 | |
| 5) | Champions |
| 284706 | |
| 6) | Carcavelos |
| - | |
| 7) | Alisson |
| 23225 | |
| 8) | Morata |
| 50032 | |
| 9) | atleti |
| 145802 | |
| 10) | António Costa |
| - |
19:37
| 1) | Liverpool |
| 651562 | |
| 2) | Adrian |
| 156632 | |
| 3) | Simeone |
| 121204 | |
| 4) | Oblak |
| 104319 | |
| 5) | #championseleven |
| - | |
| 6) | Carcavelos |
| - | |
| 7) | Alisson |
| 24862 | |
| 8) | Rodrigo Guedes de Carvalho |
| - | |
| 9) | atleti |
| 166761 | |
| 10) | Haaland |
| 100638 |
20:07
| 1) | Liverpool |
| 683336 | |
| 2) | Simeone |
| 133541 | |
| 3) | #championseleven |
| - | |
| 4) | Anfield |
| 226988 | |
| 5) | Carcavelos |
| - | |
| 6) | Rodrigo Guedes de Carvalho |
| - | |
| 7) | Alisson |
| 25660 | |
| 8) | Filipe Froes |
| - | |
| 9) | Haaland |
| 109810 | |
| 10) | morata |
| 61073 |
20:33
| 1) | Liverpool |
| 702871 | |
| 2) | Simeone |
| 140167 | |
| 3) | #ChampionsEleven |
| - | |
| 4) | rodrigo guedes de carvalho |
| - | |
| 5) | Anfield |
| 234781 | |
| 6) | Carcavelos |
| - | |
| 7) | llorente |
| 112105 | |
| 8) | filipe froes |
| - | |
| 9) | Francisco George |
| - | |
| 10) | Haaland |
| 116007 |
21:08
| 1) | Liverpool |
| 719232 | |
| 2) | Atlético |
| 408709 | |
| 3) | adrian |
| 167454 | |
| 4) | Simeone |
| 146111 | |
| 5) | Carcavelos |
| - | |
| 6) | Rodrigo Guedes de Carvalho |
| - | |
| 7) | Anfield |
| 241116 | |
| 8) | Filipe Froes |
| - | |
| 9) | Francisco George |
| - | |
| 10) | Morata |
| 65333 |
21:33
| 1) | Liverpool |
| 728781 | |
| 2) | Atlético |
| 414325 | |
| 3) | Tom Hanks |
| 79930 | |
| 4) | simeone |
| 149411 | |
| 5) | Oblak |
| 118353 | |
| 6) | Anfield |
| 244400 | |
| 7) | Rodrigo Guedes de Carvalho |
| - | |
| 8) | Filipe Froes |
| - | |
| 9) | Francisco George |
| - | |
| 10) | Morata |
| 66299 |
22:08
| 1) | Liverpool |
| 738241 | |
| 2) | Tom Hanks |
| 264646 | |
| 3) | Atlético |
| 419100 | |
| 4) | Rudy Gobert |
| 211219 | |
| 5) | simeone |
| 152581 | |
| 6) | Champions |
| 361385 | |
| 7) | Oblak |
| 119935 | |
| 8) | anfield |
| 247539 | |
| 9) | rodrigo guedes de carvalho |
| 10116 | |
| 10) | filipe froes |
| - |
22:33
| 1) | Tom Hanks |
| 356552 | |
| 2) | Liverpool |
| 744831 | |
| 3) | Atlético |
| 422639 | |
| 4) | Rudy Gobert |
| 268903 | |
| 5) | simeone |
| 154599 | |
| 6) | Oblak |
| 120997 | |
| 7) | anfield |
| 249515 | |
| 8) | rodrigo guedes de carvalho |
| 10230 | |
| 9) | #nbanasporttv |
| - | |
| 10) | filipe froes |
| - |
23:03
| 1) | Tom Hanks |
| 437135 | |
| 2) | Liverpool |
| 750977 | |
| 3) | Atlético |
| 425535 | |
| 4) | Rudy Gobert |
| 317687 | |
| 5) | Oblak |
| 122174 | |
| 6) | anfield |
| 251133 | |
| 7) | rodrigo guedes de carvalho |
| 10330 | |
| 8) | #nbanasporttv |
| - | |
| 9) | Corona Party |
| - | |
| 10) | neymar |
| 242476 |
23:33
| 1) | Tom Hanks |
| 502198 | |
| 2) | Rudy Gobert |
| 350903 | |
| 3) | simeone |
| 158670 | |
| 4) | adrian |
| 174272 | |
| 5) | rodrigo guedes de carvalho |
| 10404 | |
| 6) | #nbanasporttv |
| - | |
| 7) | Atlético de Madrid |
| 64539 | |
| 8) | liver |
| 13202 | |
| 9) | Itália |
| 471224 | |
| 10) | Carcavelos |
| - |