kinopoisk.ru

KinoPoisk is a Russian online database of information related to films, TV shows including cast, production team, biographies, plot summaries, ratings, and reviews. Since 2018, an online movie theater with several thousand films, TV series, cartoons, including premieres and exclusive ones, has also been available. More information...

Multilingual Wikipedia

In June 2020 the website kinopoisk.ru was on the 1,381st 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 2,053rd place in June 2020. From Wikipedians' point of view, "kinopoisk.ru" is the 1,952nd most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
1,381st place
26,600,106
-7,338,799
AR-score:
1,952nd place
2,621,937
+39,717
F-score:
2,053rd place
7,348
+215

Russian Wikipedia (ru)

PR-score:
105th place
20,242,841
-6,221,026
AR-score:
160th place
1,228,604
+3,722
F-score:
459th place
1,643
+8

English Wikipedia (en)

PR-score:
5,208th place
3,086,004
-735,369
AR-score:
5,148th place
361,813
+15,226
F-score:
3,045th place
1,512
+49

Arabic Wikipedia (ar)

PR-score:
152nd place
1,470,482
+28,088
AR-score:
200th place
393,582
-740
F-score:
254th place
1,132
0

Ukrainian Wikipedia (uk)

PR-score:
291st place
431,392
-193,218
AR-score:
227th place
178,005
-2,680
F-score:
310th place
762
+2

French Wikipedia (fr)

PR-score:
4,789th place
252,109
-108,026
AR-score:
5,329th place
44,786
+290
F-score:
5,968th place
116
0

Armenian Wikipedia (hy)

PR-score:
84th place
101,920
-43,280
AR-score:
34th place
208,143
-3,079
F-score:
92nd place
1,003
-20
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...