vachess.org

Multilingual Wikipedia

In June 2020 the website vachess.org was on the 571,193rd 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 353,650th place in June 2020. From Wikipedians' point of view, "vachess.org" is the 802,702nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before foodnewsweek.ru and after bot.pl in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
571,193rd place
18,432
+2,126
AR-score:
802,702nd place
1,981
+22
F-score:
353,650th place
15
0

English Wikipedia (en)

PR-score:
379,048th place
14,329
+1,584
AR-score:
670,815th place
912
+21
F-score:
284,431st place
6
0

Chinese Wikipedia (zh)

PR-score:
91,429th place
2,039
+659
AR-score:
71,176th place
480
0
F-score:
127,095th place
1
0

Russian Wikipedia (ru)

PR-score:
189,512th place
1,431
-163
AR-score:
245,275th place
131
0
F-score:
178,840th place
1
0

Japanese Wikipedia (ja)

PR-score:
193,396th place
354
+103
AR-score:
175,830th place
93
0
F-score:
174,018th place
1
0

Portuguese Wikipedia (pt)

PR-score:
187,509th place
112
-5
AR-score:
189,870th place
43
0
F-score:
122,560th place
1
0

Hungarian Wikipedia (hu)

PR-score:
63,250th place
101
0
AR-score:
59,673rd place
91
0
F-score:
49,260th place
1
0

Armenian Wikipedia (hy)

PR-score:
49,163rd place
25
-25
AR-score:
24,007th place
150
0
F-score:
43,322nd place
1
0

Ukrainian Wikipedia (uk)

PR-score:
134,166th place
17
-28
AR-score:
118,947th place
41
0
F-score:
75,979th place
1
0

Tamil Wikipedia (ta)

PR-score:
33,164th place
12
0
AR-score:
35,867th place
12
0
F-score:
34,939th place
1
0

Afrikaans Wikipedia (af)

PR-score:
19,349th place
8
0
AR-score:
16,715th place
25
0
F-score:
18,512th 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...