mepar.ru

Moscow Eparchy is the Eastern Orthodox diocese in Russia founded in 1461.

Multilingual Wikipedia

In June 2020 the website mepar.ru was on the 52,697th 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 16,649th place in June 2020. From Wikipedians' point of view, "mepar.ru" is the 23,962nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before newstribune.com and after thekrazemagazine.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
52,697th place
417,928
-98,199
AR-score:
23,962nd place
149,116
+958
F-score:
16,649th place
665
+7

Russian Wikipedia (ru)

PR-score:
4,929th place
396,862
-91,827
AR-score:
1,748th place
119,317
+949
F-score:
1,637th place
471
+7

English Wikipedia (en)

PR-score:
483,373rd place
9,020
-1,917
AR-score:
715,286th place
803
+7
F-score:
157,829th place
13
0

Polish Wikipedia (pl)

PR-score:
31,851st place
8,803
-2,014
AR-score:
3,354th place
26,375
0
F-score:
2,384th place
164
0

Ukrainian Wikipedia (uk)

PR-score:
25,766th place
2,326
-2,556
AR-score:
17,930th place
1,506
0
F-score:
15,365th place
10
0

French Wikipedia (fr)

PR-score:
279,285th place
375
+250
AR-score:
262,020th place
250
0
F-score:
357,357th place
1
0

Serbian Wikipedia (sr)

PR-score:
33,327th place
233
0
AR-score:
17,121st place
533
0
F-score:
22,589th place
2
0

Romanian Wikipedia (ro)

PR-score:
39,540th place
192
-15
AR-score:
23,390th place
276
0
F-score:
38,836th place
1
0

Belarusian Wikipedia (be)

PR-score:
12,555th place
62
-38
AR-score:
17,766th place
37
0
F-score:
24,507th place
1
0

Armenian Wikipedia (hy)

PR-score:
36,718th place
51
-82
AR-score:
60,808th place
16
+3
F-score:
31,574th 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...