chaskor.ru

Chastny Korrespondent is a Russian online newspaper. Chaskor is Russia's first periodical edition to switch to Creative Commons license. Chaskor publishes analytical articles, reviews, interviews, and news. More information...

Multilingual Wikipedia

In June 2020 the website chaskor.ru was on the 6,415th 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 10,316th place in June 2020. From Wikipedians' point of view, "chaskor.ru" is the 9,286th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before wall-street.ro and after nashvillescene.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
6,415th place
4,878,119
-1,730,492
AR-score:
9,286th place
461,994
+2,567
F-score:
10,316th place
1,176
+2

Russian Wikipedia (ru)

PR-score:
448th place
4,673,279
-1,646,496
AR-score:
489th place
402,317
+1,619
F-score:
966th place
804
0

English Wikipedia (en)

PR-score:
74,008th place
136,244
-27,694
AR-score:
56,787th place
22,080
+425
F-score:
69,300th place
36
+1

Ukrainian Wikipedia (uk)

PR-score:
4,657th place
24,150
-19,947
AR-score:
2,281st place
14,580
+66
F-score:
2,058th place
103
0

Georgian Wikipedia (ka)

PR-score:
1,083rd place
7,905
-4,670
AR-score:
1,333rd place
2,310
0
F-score:
8,325th place
2
0

Polish Wikipedia (pl)

PR-score:
43,025th place
5,110
+89
AR-score:
40,593rd place
1,417
+48
F-score:
41,289th place
5
0

Armenian Wikipedia (hy)

PR-score:
1,936th place
3,605
-2,794
AR-score:
1,543rd place
3,608
+140
F-score:
1,243rd place
63
+1

Bashkir Wikipedia (ba)

PR-score:
258th place
3,437
-14,828
AR-score:
379th place
1,449
0
F-score:
220th place
41
0
Show all Wikipedia languages...

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...