novrosen.ru

Multilingual Wikipedia

In June 2020 the website novrosen.ru was on the 83,175th 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 139,142nd place in June 2020. From Wikipedians' point of view, "novrosen.ru" is the 176,171st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before porvir.org and after ineos159challenge.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
83,175th place
243,400
-176,919
AR-score:
176,171st place
13,876
-714
F-score:
139,142nd place
48
0

Russian Wikipedia (ru)

PR-score:
8,070th place
234,666
-173,283
AR-score:
14,400th place
11,802
-724
F-score:
17,432nd place
31
0

English Wikipedia (en)

PR-score:
656,822nd place
4,441
-625
AR-score:
796,906th place
641
+8
F-score:
740,613th place
2
0

Ukrainian Wikipedia (uk)

PR-score:
26,226th place
2,259
-2,050
AR-score:
34,662nd place
633
0
F-score:
37,224th place
3
0

Lezgian Wikipedia (lez)

PR-score:
296th place
672
-293
AR-score:
316th place
212
0
F-score:
115th place
5
0

Latin Wikipedia (la)

PR-score:
1,567th place
632
-370
AR-score:
4,294th place
246
0
F-score:
3,012th place
1
0

Azerbaijani Wikipedia (az)

PR-score:
10,334th place
259
+89
AR-score:
16,637th place
95
+2
F-score:
10,598th place
2
0

Armenian Wikipedia (hy)

PR-score:
17,889th place
200
-137
AR-score:
21,248th place
187
0
F-score:
38,286th place
1
0

Buryat Wikipedia (bxr)

PR-score:
753rd place
150
-200
AR-score:
766th place
25
0
F-score:
972nd place
1
0

Japanese Wikipedia (ja)

PR-score:
223,081st place
108
-42
AR-score:
222,514th place
25
0
F-score:
244,073rd place
1
0

Bashkir Wikipedia (ba)

PR-score:
13,994th place
9
-9
AR-score:
14,318th place
6
0
F-score:
9,682nd place
1
0

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...