mskobr.ru

Multilingual Wikipedia

In June 2020 the website mskobr.ru was on the 41,310th 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 32,834th place in June 2020. From Wikipedians' point of view, "mskobr.ru" is the 37,770th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before cfpm.org and after onweb.it in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
41,310th place
554,825
-234,894
AR-score:
37,770th place
87,006
+361
F-score:
32,834th place
292
+2

Russian Wikipedia (ru)

PR-score:
3,638th place
547,815
-234,793
AR-score:
2,508th place
81,175
+326
F-score:
2,872nd place
259
+2

English Wikipedia (en)

PR-score:
609,377th place
5,367
+832
AR-score:
195,124th place
5,197
0
F-score:
247,807th place
8
0

Tatar Wikipedia (tt)

PR-score:
1,052nd place
700
-219
AR-score:
3,393rd place
140
+20
F-score:
2,768th place
2
0

Japanese Wikipedia (ja)

PR-score:
202,636th place
259
-89
AR-score:
212,669th place
34
0
F-score:
92,821st place
3
0

Polish Wikipedia (pl)

PR-score:
123,825th place
240
-64
AR-score:
150,645th place
63
0
F-score:
157,909th place
1
0

Latvian Wikipedia (lv)

PR-score:
11,421st place
179
-301
AR-score:
17,223rd place
60
0
F-score:
6,406th place
3
0

Ukrainian Wikipedia (uk)

PR-score:
91,094th place
115
-28
AR-score:
70,605th place
187
+2
F-score:
36,696th place
4
0

Bashkir Wikipedia (ba)

PR-score:
6,614th place
69
-103
AR-score:
5,306th place
83
0
F-score:
1,516th place
7
0

Tuvan Wikipedia (tyv)

PR-score:
668th place
54
-143
AR-score:
617th place
35
+8
F-score:
264th place
3
0

Armenian Wikipedia (hy)

PR-score:
51,912th place
21
+12
AR-score:
51,842nd place
29
+7
F-score:
32,277th place
2
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...