habrahabr.ru

Habr is a Russian collaborative blog about IT, Computer science and anything related to the Internet, owned by TechMedia. Habrahabr was founded in June 2006. The English section of Habr was launched in 2019. More information...

Multilingual Wikipedia

In June 2020 the website habrahabr.ru was on the 3,183rd 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 11,660th place in June 2020. From Wikipedians' point of view, "habrahabr.ru" is the 7,396th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
3,183rd place
10,787,792
-2,891,422
AR-score:
7,396th place
593,565
-2,711
F-score:
11,660th place
1,017
+1

Russian Wikipedia (ru)

PR-score:
207th place
10,197,455
-2,714,554
AR-score:
381st place
524,611
-2,101
F-score:
1,161st place
670
-1

Ukrainian Wikipedia (uk)

PR-score:
472nd place
272,180
-105,301
AR-score:
1,126th place
30,319
-955
F-score:
1,645th place
132
0

English Wikipedia (en)

PR-score:
51,853rd place
208,259
-49,728
AR-score:
64,983rd place
18,872
+124
F-score:
72,429th place
34
0

Armenian Wikipedia (hy)

PR-score:
200th place
45,136
-11,703
AR-score:
1,155th place
4,820
+140
F-score:
1,449th place
54
+2

Chinese Wikipedia (zh)

PR-score:
36,027th place
13,882
+3,109
AR-score:
104,995th place
213
0
F-score:
23,047th place
10
0

Azerbaijani Wikipedia (az)

PR-score:
904th place
8,696
-2,320
AR-score:
1,839th place
2,273
+60
F-score:
3,852nd place
7
0

Belarusian Wikipedia (be)

PR-score:
401st place
6,294
-1,563
AR-score:
1,296th place
2,035
0
F-score:
1,498th 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...