rbcdaily.ru

Multilingual Wikipedia

In June 2020 the website rbcdaily.ru was on the 6,496th 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 8,471st place in June 2020. From Wikipedians' point of view, "rbcdaily.ru" is the 10,146th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before aargauerzeitung.ch and after katolikus.hu in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
6,496th place
4,815,548
-1,185,329
AR-score:
10,146th place
416,046
-1,135
F-score:
8,471st place
1,473
-2

Russian Wikipedia (ru)

PR-score:
476th place
4,412,947
-1,019,284
AR-score:
596th place
340,275
-1,575
F-score:
682nd place
1,104
-2

English Wikipedia (en)

PR-score:
39,610th place
286,693
-75,587
AR-score:
40,574th place
33,013
-101
F-score:
32,619th place
93
0

Ukrainian Wikipedia (uk)

PR-score:
3,572nd place
32,341
-31,504
AR-score:
2,367th place
14,060
+198
F-score:
3,155th place
63
0

Chinese Wikipedia (zh)

PR-score:
29,958th place
18,580
-3,369
AR-score:
35,870th place
1,392
+9
F-score:
21,862nd place
10
0

Bulgarian Wikipedia (bg)

PR-score:
3,142nd place
17,358
-392
AR-score:
6,128th place
2,116
0
F-score:
20,933rd place
2
0

Armenian Wikipedia (hy)

PR-score:
2,731st place
2,505
-1,802
AR-score:
3,272nd place
1,654
+67
F-score:
1,758th place
44
0

Belarusian (Taraškievica) Wikipedia (be-x-old)

PR-score:
1,077th place
1,059
-166
AR-score:
695th place
2,620
0
F-score:
949th place
10
0

Belarusian Wikipedia (be)

PR-score:
5,595th place
275
-269
AR-score:
3,239th place
758
0
F-score:
1,892nd place
12
0

Swedish Wikipedia (sv)

PR-score:
62,141st place
200
+100
AR-score:
16,370th place
2,300
0
F-score:
65,217th place
1
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...