vdnh.ru

Exhibition of Achievements of National Economy is a permanent general purpose trade show and amusement park in Moscow, Russia. Between 1991 and 2014 it was also called the All-Russia Exhibition Centre. It is a state joint-stock company. More information...

Multilingual Wikipedia

In June 2020 the website vdnh.ru was on the 56,641st 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 24,154th place in June 2020. From Wikipedians' point of view, "vdnh.ru" is the 54,731st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ellibero.cl and after goodshepherdbh.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
56,641st place
383,756
-15,782
AR-score:
54,731st place
55,791
+1,989
F-score:
24,154th place
423
-1

Russian Wikipedia (ru)

PR-score:
6,967th place
276,150
+10,667
AR-score:
5,065th place
38,421
+1,845
F-score:
2,973rd place
249
-1

English Wikipedia (en)

PR-score:
139,256th place
61,951
-15,331
AR-score:
189,916th place
5,364
+25
F-score:
248,757th place
7
0

Spanish Wikipedia (es)

PR-score:
70,562nd place
14,000
+858
AR-score:
55,624th place
2,800
0
F-score:
79,029th place
4
0

Japanese Wikipedia (ja)

PR-score:
66,854th place
9,800
-3,600
AR-score:
25,269th place
3,800
0
F-score:
103,356th place
2
0

Italian Wikipedia (it)

PR-score:
52,671st place
7,469
-3,623
AR-score:
73,528th place
1,411
+104
F-score:
3,294th place
124
0

German Wikipedia (de)

PR-score:
164,254th place
3,289
-491
AR-score:
201,196th place
739
0
F-score:
45,042nd place
10
0

Bashkir Wikipedia (ba)

PR-score:
8,530th place
41
0
AR-score:
5,351st place
83
0
F-score:
2,111th place
5
0
Show all Wikipedia languages...

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...