vesti.cz

Multilingual Wikipedia

In June 2020 the website vesti.cz was on the 963,423rd place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 465,709th place in June 2020. From Wikipedians' point of view, "vesti.cz" is the 1,296,852nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before dof-ringkobingamt.dk and after farsunds-avis.no in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
963,423rd place
6,783
+2,063
AR-score:
1,296,852nd place
851
+3
F-score:
465,709th place
10
0

French Wikipedia (fr)

PR-score:
124,404th place
3,774
+2,476
AR-score:
273,265th place
220
+2
F-score:
253,413th place
1
0

Italian Wikipedia (it)

PR-score:
127,486th place
1,126
-210
AR-score:
184,525th place
186
0
F-score:
139,819th place
1
0

Portuguese Wikipedia (pt)

PR-score:
115,043rd place
1,108
+85
AR-score:
164,304th place
91
0
F-score:
132,217th place
1
0

Bulgarian Wikipedia (bg)

PR-score:
25,697th place
345
-52
AR-score:
36,217th place
81
0
F-score:
24,654th place
1
0

Romanian Wikipedia (ro)

PR-score:
39,471st place
194
-136
AR-score:
45,217th place
51
0
F-score:
35,494th place
1
0

Catalan Wikipedia (ca)

PR-score:
59,765th place
130
-98
AR-score:
83,455th place
123
0
F-score:
64,636th place
1
0

Indonesian Wikipedia (id)

PR-score:
79,530th place
63
-2
AR-score:
89,397th place
24
0
F-score:
63,826th place
1
0

Ladino Wikipedia (lad)

PR-score:
916th place
32
+11
AR-score:
1,115th place
14
0
F-score:
880th place
1
0

Galician Wikipedia (gl)

PR-score:
40,543rd place
7
-3
AR-score:
37,690th place
22
+1
F-score:
21,504th place
1
0

Malay Wikipedia (ms)

PR-score:
48,291st place
1
-6
AR-score:
28,423rd place
34
0
F-score:
25,660th place
1
0

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...