motor.ru

Lenta.ru is a Russian language online newspaper. Based in Moscow, it is owned by Rambler Media Group which belongs to Prof-Media. More information...

Multilingual Wikipedia

In June 2020 the website motor.ru was on the 10,870th 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 19,655th place in June 2020. From Wikipedians' point of view, "motor.ru" is the 17,751st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before rcdespanyol.com and after etnet.com.hk in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
10,870th place
2,686,983
-221,966
AR-score:
17,751st place
211,952
-148
F-score:
19,655th place
544
+1

Russian Wikipedia (ru)

PR-score:
803rd place
2,571,681
-222,161
AR-score:
1,118th place
188,535
-416
F-score:
1,795th place
425
+1

English Wikipedia (en)

PR-score:
153,143rd place
54,777
+270
AR-score:
299,906th place
3,060
+10
F-score:
279,956th place
6
0

Ukrainian Wikipedia (uk)

PR-score:
6,076th place
17,710
+6,119
AR-score:
8,774th place
3,437
+34
F-score:
16,791st place
9
0

Spanish Wikipedia (es)

PR-score:
76,349th place
12,200
-1,447
AR-score:
45,031st place
3,691
0
F-score:
50,081st place
7
0

Bulgarian Wikipedia (bg)

PR-score:
4,448th place
10,952
-3,071
AR-score:
7,546th place
1,660
0
F-score:
6,767th place
6
0

Belarusian Wikipedia (be)

PR-score:
373rd place
6,776
+1,403
AR-score:
383rd place
6,882
+168
F-score:
497th place
51
0

Armenian Wikipedia (hy)

PR-score:
1,945th place
3,594
-807
AR-score:
3,771st place
1,424
0
F-score:
5,313th place
12
0

Esperanto Wikipedia (eo)

PR-score:
8,385th place
135
+15
AR-score:
14,518th place
138
+7
F-score:
1,079th place
15
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...