error_outline Depending on the time zone of the region you are linking to, showing 14/04/2021 Denmark Twitter trends list. (GMT +00:00 )
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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!
00:10
1) | #cldk |
- | |
2) | Bayern |
454103 | |
3) | Neymar |
558894 | |
4) | #PortfolioDay |
258175 | |
5) | #PSGFCB |
172477 | |
6) | Champions League |
129996 | |
7) | Afghanistan |
64833 | |
8) | Real Madrid |
97450 | |
9) | Paris |
277566 | |
10) | Covid |
2151310 |
00:41
1) | #cldk |
- | |
2) | Bayern |
458415 | |
3) | Neymar |
568176 | |
4) | #portfolioday |
267215 | |
5) | #PSGFCB |
173667 | |
6) | Afghanistan |
67079 | |
7) | Real Madrid |
99022 | |
8) | Paris |
282416 | |
9) | Covid |
2192929 | |
10) | #Bitcoin |
227619 |
01:10
1) | #cldk |
- | |
2) | Bayern |
461102 | |
3) | Neymar |
574748 | |
4) | #PortfolioDay |
274852 | |
5) | #PSGFCB |
174267 | |
6) | Afghanistan |
68622 | |
7) | Real Madrid |
98089 | |
8) | Paris |
281509 | |
9) | Covid |
2150314 | |
10) | #Bitcoin |
225630 |
01:41
1) | #cldk |
- | |
2) | Neymar |
582822 | |
3) | Bayern |
464629 | |
4) | Real Madrid |
99571 | |
5) | #Bitcoin |
229067 | |
6) | #indiedev |
17497 | |
7) | Messi |
74440 | |
8) | Johnson |
470933 | |
9) | Denmark |
10433 | |
10) | - |
- |
02:10
1) | #cldk |
- | |
2) | Bayern |
466229 | |
3) | Neymar |
587628 | |
4) | #Bitcoin |
227268 | |
5) | Johnson |
474320 | |
6) | Denmark |
10417 | |
7) | - |
- | |
8) | - |
- | |
9) | - |
- | |
10) | - |
- |
02:41
1) | #cldk |
- | |
2) | Bayern |
468765 | |
3) | Neymar |
595297 | |
4) | Johnson |
480045 | |
5) | Denmark |
10577 | |
6) | - |
- | |
7) | - |
- | |
8) | - |
- | |
9) | - |
- | |
10) | - |
- |
03:10
1) | #cldk |
- | |
2) | Bayern |
468546 | |
3) | Neymar |
590674 | |
4) | Denmark |
10494 | |
5) | - |
- | |
6) | - |
- | |
7) | - |
- | |
8) | - |
- | |
9) | - |
- | |
10) | - |
- |
03:41
1) | #cldk |
- | |
2) | Bayern |
471048 | |
3) | Neymar |
596426 | |
4) | Jesus |
249256 | |
5) | Denmark |
10578 | |
6) | European |
63473 | |
7) | jungkook |
687354 | |
8) | - |
- | |
9) | - |
- | |
10) | - |
- |
04:10
1) | #cldk |
- | |
2) | Bayern |
471800 | |
3) | Neymar |
594588 | |
4) | #TigrayGenocide |
50266 | |
5) | Jesus |
245849 | |
6) | Denmark |
10483 | |
7) | European |
62853 | |
8) | jungkook |
678500 | |
9) | - |
- | |
10) | - |
- |
04:41
1) | #cldk |
- | |
2) | Bayern |
474385 | |
3) | Neymar |
598465 | |
4) | #Dynamite |
986041 | |
5) | #TigrayGenocide |
51211 | |
6) | Jesus |
249921 | |
7) | #uddpol |
- | |
8) | European |
63350 | |
9) | jungkook |
693563 | |
10) | Tusind |
- |
05:10
1) | #cldk |
- | |
2) | Bayern |
475139 | |
3) | #uddpol |
- | |
4) | Neymar |
598373 | |
5) | Europe |
134310 | |
6) | #Dynamite |
967278 | |
7) | Denmark |
10448 | |
8) | Japan |
479600 | |
9) | #dkpol |
- | |
10) | #TigrayGenocide |
49994 |
05:41
1) | #cldk |
- | |
2) | #uddpol |
- | |
3) | Bayern |
478073 | |
4) | Champions League |
148081 | |
5) | Neymar |
601593 | |
6) | Dortmund |
26295 | |
7) | Pfizer |
204717 | |
8) | #dkpol |
- | |
9) | Europe |
135741 | |
10) | Denmark |
10593 |
06:10
1) | #dkpol |
- | |
2) | Afrika |
10576 | |
3) | #uddpol |
- | |
4) | #cldk |
- | |
5) | Champions League |
148258 | |
6) | Bayern |
478525 | |
7) | Pfizer |
203240 | |
8) | #dkgreen |
- | |
9) | Dortmund |
26349 | |
10) | Neymar |
603090 |
06:41
1) | #dkpol |
- | |
2) | Kina |
10526 | |
3) | Moderna |
113174 | |
4) | Bitcoin |
382332 | |
5) | Afrika |
10764 | |
6) | #uddpol |
- | |
7) | Korrekt |
- | |
8) | Corona |
269190 | |
9) | Champions League |
150213 | |
10) | #cldk |
- |
07:10
1) | Kina |
10341 | |
2) | #dkpol |
- | |
3) | Emil |
- | |
4) | Bitcoin |
380149 | |
5) | Moderna |
112554 | |
6) | Afrika |
10411 | |
7) | Corona |
262568 | |
8) | #sundpol |
- | |
9) | #cldk |
- | |
10) | Korrekt |
- |
07:41
1) | #dkpol |
- | |
2) | Kina |
10595 | |
3) | Emil |
- | |
4) | Bitcoin |
388670 | |
5) | Corona |
270152 | |
6) | #sundpol |
- | |
7) | #cldk |
- | |
8) | Christiansborg |
- | |
9) | Korrekt |
- | |
10) | Mette Frederiksen |
- |
08:10
1) | #dkkød |
- | |
2) | #obdk |
- | |
3) | #dkpol |
- | |
4) | #sundpol |
- | |
5) | Emil |
- | |
6) | Bitcoin |
378454 | |
7) | #dkgreen |
- | |
8) | Moderna |
112674 | |
9) | christiansborg |
- | |
10) | korrekt |
- |
08:41
1) | #dkkød |
- | |
2) | #obdk |
- | |
3) | #dkpol |
- | |
4) | #sundpol |
- | |
5) | #dkbiz |
- | |
6) | Emil |
- | |
7) | Bitcoin |
385904 | |
8) | Moderna |
113721 | |
9) | christiansborg |
- | |
10) | Syrien |
- |
09:10
1) | #dkkød |
- | |
2) | #obdk |
- | |
3) | #sundpol |
- | |
4) | #dkpol |
- | |
5) | #dkbiz |
- | |
6) | Moderna |
112885 | |
7) | AstraZeneca |
12245 | |
8) | afrika |
10140 | |
9) | Johnson & Johnson |
508613 | |
10) | Corona |
268661 |
09:41
1) | #dkkød |
- | |
2) | #sundpol |
- | |
3) | #dkpol |
- | |
4) | Moderna |
114029 | |
5) | #obdk |
- | |
6) | #dkbiz |
- | |
7) | Mette Frederiksen |
- | |
8) | Johnson & Johnson |
513248 | |
9) | jeps |
- | |
10) | Corona |
278564 |
10:10
1) | #dkkød |
- | |
2) | #ultratwitteragf |
- | |
3) | #sundpol |
- | |
4) | #dkpol |
- | |
5) | AstraZeneca |
94190 | |
6) | Superligaen |
- | |
7) | Moderna |
113449 | |
8) | #obdk |
- | |
9) | Mellemøsten |
- | |
10) | Mette Frederiksen |
- |
10:41
1) | AstraZeneca |
97129 | |
2) | #ultratwitteragf |
- | |
3) | #dkkød |
- | |
4) | #sundpol |
- | |
5) | #dkpol |
- | |
6) | #COVID19dk |
- | |
7) | Superligaen |
- | |
8) | Afrika |
10290 | |
9) | Pfizer |
203526 | |
10) | Mellemøsten |
- |
11:10
1) | AstraZeneca |
95085 | |
2) | Stig Inge Bjørnebye |
- | |
3) | #ultratwitteragf |
- | |
4) | #dkpol |
- | |
5) | P-piller |
- | |
6) | #dkkød |
- | |
7) | #sundpol |
- | |
8) | Pfizer |
199370 | |
9) | superligaen |
- | |
10) | #Denmark |
- |
11:41
1) | Stig Inge Bjørnebye |
- | |
2) | AstraZeneca |
98479 | |
3) | #ultratwitteragf |
- | |
4) | #dkkød |
- | |
5) | P-piller |
- | |
6) | #dkpol |
- | |
7) | Pfizer |
202328 | |
8) | #sundpol |
- | |
9) | Corona |
284920 | |
10) | Superligaen |
- |
12:10
1) | AstraZeneca |
96771 | |
2) | Stig Inge Bjørnebye |
- | |
3) | #dkpol |
- | |
4) | #dkkød |
- | |
5) | #ultratwitteragf |
- | |
6) | Pfizer |
198325 | |
7) | P-piller |
- | |
8) | #COVID19dk |
- | |
9) | #dksocial |
- | |
10) | Corona |
279479 |
12:41
1) | AstraZeneca |
104677 | |
2) | Søren Brostrøm |
- | |
3) | #COVID19dk |
- | |
4) | #dkpol |
- | |
5) | stig inge bjørnebye |
- | |
6) | #dkkød |
- | |
7) | Pfizer |
204703 | |
8) | Corona |
288589 | |
9) | #dksocial |
- | |
10) | #ultratwitteragf |
- |
13:10
1) | AstraZeneca |
106803 | |
2) | Søren Brostrøm |
- | |
3) | Lægemiddelstyrelsen |
- | |
4) | #COVID19dk |
- | |
5) | Pfizer |
197077 | |
6) | stig inge bjørnebye |
- | |
7) | #dkpol |
- | |
8) | #dkkød |
- | |
9) | #ultratwitteragf |
- | |
10) | Denmark |
17644 |
13:41
1) | AstraZeneca |
114095 | |
2) | Tanja Erichsen |
- | |
3) | Brostrøm |
- | |
4) | #COVID19dk |
- | |
5) | Lægemiddelstyrelsen |
- | |
6) | Pfizer |
202402 | |
7) | stig inge bjørnebye |
- | |
8) | #dkkød |
- | |
9) | #dkpol |
- | |
10) | #dksocial |
- |
14:10
1) | AstraZeneca |
113598 | |
2) | Brostrøm |
- | |
3) | Tanja Erichsen |
- | |
4) | #COVID19dk |
- | |
5) | Pfizer |
191300 | |
6) | lægemiddelstyrelsen |
- | |
7) | stig inge bjørnebye |
- | |
8) | #dkkød |
- | |
9) | #dkpol |
- | |
10) | p-piller |
- |
14:41
1) | AstraZeneca |
120100 | |
2) | Brostrøm |
- | |
3) | Tanja Erichsen |
- | |
4) | #COVID19dk |
- | |
5) | Pfizer |
196803 | |
6) | Lægemiddelstyrelsen |
- | |
7) | #dkkød |
- | |
8) | #dkpol |
- | |
9) | #dksocial |
- | |
10) | Denmark |
23164 |
15:10
1) | AstraZeneca |
119272 | |
2) | søren brostrøm |
- | |
3) | Tanja Erichsen |
- | |
4) | Pfizer |
187113 | |
5) | Lægemiddelstyrelsen |
- | |
6) | #COVID19dk |
- | |
7) | #dkpol |
- | |
8) | #dksocial |
- | |
9) | Loud |
131402 | |
10) | Fortnite |
66318 |
15:41
1) | søren brostrøm |
- | |
2) | AstraZeneca |
11727 | |
3) | Tanja Erichsen |
- | |
4) | #COVID19dk |
- | |
5) | Lægemiddelstyrelsen |
- | |
6) | Pfizer |
192912 | |
7) | #dksocial |
- | |
8) | #dkpol |
- | |
9) | LOUD |
134905 | |
10) | Fortnite |
68257 |
16:10
1) | AstraZeneca |
124411 | |
2) | Brostrøm |
- | |
3) | Tanja Erichsen |
- | |
4) | #covid19dk |
- | |
5) | Lægemiddelstyrelsen |
- | |
6) | Pfizer |
185555 | |
7) | #dksocial |
- | |
8) | Denmark |
26903 | |
9) | Fortnite |
65729 | |
10) | #dkpol |
- |
16:41
1) | AstraZeneca |
11750 | |
2) | Tanja Erichsen |
- | |
3) | Brostrøm |
- | |
4) | #COVID19dk |
- | |
5) | Lægemiddelstyrelsen |
- | |
6) | Pfizer |
190960 | |
7) | #eSuppen |
- | |
8) | #dksocial |
- | |
9) | Sundhedsstyrelsen |
- | |
10) | #dkpol |
- |
17:10
1) | AstraZeneca |
11353 | |
2) | Tanja Erichsen |
- | |
3) | Brostrøm |
- | |
4) | #COVID19dk |
- | |
5) | Lægemiddelstyrelsen |
- | |
6) | #eSuppen |
- | |
7) | Pfizer |
182974 | |
8) | Sundhedsstyrelsen |
- | |
9) | Denmark |
28671 | |
10) | #dkkød |
- |
17:41
1) | #AstraZeneca |
22026 | |
2) | Brostrøm |
- | |
3) | Tanja Erichsen |
- | |
4) | #COVID19dk |
- | |
5) | Pfizer |
188406 | |
6) | Lægemiddelstyrelsen |
- | |
7) | Sundhedsstyrelsen |
- | |
8) | #eSuppen |
- | |
9) | iPhone |
180210 | |
10) | #dkpol |
- |
18:10
1) | #AstraZeneca |
22079 | |
2) | Brostrøm |
- | |
3) | Pfizer |
180662 | |
4) | Tanja Erichsen |
- | |
5) | #COVID19dk |
- | |
6) | Lægemiddelstyrelsen |
- | |
7) | #eSuppen |
- | |
8) | Sundhedsstyrelsen |
- | |
9) | iPhone |
177718 | |
10) | #dkkød |
- |
18:41
1) | Brostrøm |
- | |
2) | AstraZeneca |
137284 | |
3) | Pfizer |
185641 | |
4) | Tanja Erichsen |
- | |
5) | #COVID19dk |
- | |
6) | #eSuppen |
- | |
7) | iPhone |
181533 | |
8) | Lægemiddelstyrelsen |
- | |
9) | #dkkød |
- | |
10) | Madrid |
381807 |
19:10
1) | AstraZeneca |
136749 | |
2) | Brostrøm |
- | |
3) | #lfcdk |
- | |
4) | Tanja Erichsen |
- | |
5) | Pfizer |
178613 | |
6) | #eSuppen |
- | |
7) | Liverpool |
167794 | |
8) | #COVID19dk |
- | |
9) | iPhone |
179436 | |
10) | Lægemiddelstyrelsen |
- |
19:41
1) | AstraZeneca |
140920 | |
2) | #LIVRMA |
50880 | |
3) | Brostrøm |
- | |
4) | #lfcdk |
- | |
5) | Pfizer |
183058 | |
6) | Afghanistan |
137292 | |
7) | Liverpool |
190705 | |
8) | #eSuppen |
- | |
9) | #cldk |
- | |
10) | Norge |
- |
20:10
1) | #LIVRMA |
61313 | |
2) | Jota |
22476 | |
3) | #lfcdk |
- | |
4) | Liverpool |
216000 | |
5) | AstraZeneca |
140053 | |
6) | Brostrøm |
- | |
7) | #cldk |
- | |
8) | Madrid |
423991 | |
9) | Afghanistan |
143470 | |
10) | Dortmund |
100972 |
20:41
1) | #LIVRMA |
72057 | |
2) | Jota |
25497 | |
3) | #cldk |
- | |
4) | Liverpool |
237587 | |
5) | #lfcdk |
- | |
6) | Brostrøm |
- | |
7) | AstraZeneca |
143967 | |
8) | Madrid |
448130 | |
9) | Afghanistan |
154099 | |
10) | Dortmund |
116481 |
21:10
1) | #LIVRMA |
78683 | |
2) | #cldk |
- | |
3) | Liverpool |
265995 | |
4) | #DORMCI |
- | |
5) | Real Madrid |
218270 | |
6) | #lfcdk |
- | |
7) | #YNWA |
13918 | |
8) | Jota |
26206 | |
9) | AstraZeneca |
143479 | |
10) | Dortmund |
119473 |
21:41
1) | #LIVRMA |
80634 | |
2) | Liverpool |
290758 | |
3) | #cldk |
- | |
4) | Real Madrid |
248032 | |
5) | #DORMCI |
- | |
6) | #lfcdk |
- | |
7) | #YNWA |
14424 | |
8) | Jota |
27241 | |
9) | Anfield |
54932 | |
10) | Dortmund |
124444 |
22:10
1) | #LIVRMA |
81612 | |
2) | #cldk |
- | |
3) | Liverpool |
298193 | |
4) | Real Madrid |
256103 | |
5) | #DORMCI |
- | |
6) | #lfcdk |
- | |
7) | #YNWA |
14446 | |
8) | Jota |
27012 | |
9) | Anfield |
57348 | |
10) | Dortmund |
125438 |
22:41
1) | Liverpool |
306859 | |
2) | #cldk |
- | |
3) | Real Madrid |
266286 | |
4) | #LIVRMA |
82559 | |
5) | #DORMCI |
- | |
6) | #lfcdk |
- | |
7) | #YNWA |
14828 | |
8) | Jota |
27491 | |
9) | Dortmund |
127152 | |
10) | Chelsea |
184535 |
23:10
1) | Liverpool |
309805 | |
2) | #cldk |
- | |
3) | Real Madrid |
268208 | |
4) | #LIVRMA |
83025 | |
5) | #YNWA |
14989 | |
6) | Jota |
27342 | |
7) | Dortmund |
127311 | |
8) | Anfield |
60639 | |
9) | Chelsea |
182395 | |
10) | Afghanistan |
180923 |
23:41
1) | Liverpool |
314035 | |
2) | #cldk |
- | |
3) | Real Madrid |
273474 | |
4) | #LIVRMA |
83468 | |
5) | Anfield |
61763 | |
6) | Chelsea |
186089 | |
7) | Afghanistan |
186885 | |
8) | #ChampionsLeague |
25619 | |
9) | AstraZeneca |
154953 | |
10) | brostrøm |
- |