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Multilingual Wikipedia

In June 2020 the website niv.ru was on the 6,591st 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 8,936th place in June 2020. From Wikipedians' point of view, "niv.ru" is the 10,171st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before exeter.ac.uk and after latintimes.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
6,591st place
4,735,970
-1,947,415
AR-score:
10,171st place
414,896
+20,660
F-score:
8,936th place
1,389
+29

Russian Wikipedia (ru)

PR-score:
511th place
4,073,705
-1,668,704
AR-score:
648th place
318,052
+19,484
F-score:
950th place
818
+28

English Wikipedia (en)

PR-score:
25,223rd place
487,100
-210,639
AR-score:
34,733rd place
39,632
+32
F-score:
24,423rd place
134
0

Spanish Wikipedia (es)

PR-score:
39,074th place
34,999
-7,279
AR-score:
68,974th place
2,076
0
F-score:
115,691st place
3
0

Hungarian Wikipedia (hu)

PR-score:
4,107th place
25,262
-10,684
AR-score:
5,782nd place
4,185
+25
F-score:
13,362nd place
6
0

French Wikipedia (fr)

PR-score:
42,117th place
20,440
-5,061
AR-score:
87,950th place
1,815
-4
F-score:
48,954th place
10
0

Ukrainian Wikipedia (uk)

PR-score:
7,875th place
12,764
-16,905
AR-score:
3,903rd place
8,143
+67
F-score:
3,744th place
52
0

German Wikipedia (de)

PR-score:
108,193rd place
7,686
-705
AR-score:
67,746th place
3,436
+176
F-score:
8,139th place
67
0

Armenian Wikipedia (hy)

PR-score:
1,014th place
7,478
-6,007
AR-score:
618th place
9,445
+118
F-score:
722nd place
114
0

Vietnamese Wikipedia (vi)

PR-score:
17,672nd place
3,250
-2,025
AR-score:
3,607th place
5,150
0
F-score:
17,019th place
6
0
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About the project

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...

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