Multilingual Wikipedia

In June 2020 the website mmj.ru was on the 282,647th 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 173,261st place in June 2020. From Wikipedians' point of view, "mmj.ru" is the 212,025th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ucw.co.za and after whatisnuclear.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
282,647th place
52,677
-18,486
AR-score:
212,025th place
11,127
+112
F-score:
173,261st place
37
+1

Russian Wikipedia (ru)

PR-score:
30,843rd place
48,967
-17,920
AR-score:
17,524th place
9,465
+12
F-score:
22,353rd place
23
0

English Wikipedia (en)

PR-score:
993,229th place
1,150
-800
AR-score:
921,192nd place
450
0
F-score:
1,362,633rd place
1
0

Sakha Wikipedia (sah)

PR-score:
278th place
1,100
+1,100
AR-score:
883rd place
100
+100
F-score:
1,790th place
1
+1

Ukrainian Wikipedia (uk)

PR-score:
42,925th place
900
-350
AR-score:
67,175th place
200
0
F-score:
91,875th place
1
0

Georgian Wikipedia (ka)

PR-score:
12,087th place
158
+133
AR-score:
18,119th place
33
0
F-score:
20,397th place
1
0

Bashkir Wikipedia (ba)

PR-score:
5,371st place
100
-150
AR-score:
2,723rd place
200
0
F-score:
10,297th place
1
0

Lithuanian Wikipedia (lt)

PR-score:
17,035th place
66
+33
AR-score:
9,830th place
300
0
F-score:
12,219th place
1
0

Armenian Wikipedia (hy)

PR-score:
37,995th place
50
-50
AR-score:
20,311th place
200
0
F-score:
51,439th place
1
0

Chechen Wikipedia (ce)

PR-score:
2,060th place
50
-350
AR-score:
1,316th place
100
0
F-score:
2,949th place
1
0

Italian Wikipedia (it)

PR-score:
237,679th place
40
-88
AR-score:
242,097th place
33
0
F-score:
53,801st place
5
0
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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...