nurido.at

Multilingual Wikipedia

In June 2020 the website nurido.at was on the 572,593rd 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 473,039th place in June 2020. From Wikipedians' point of view, "nurido.at" is the 386,389th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
572,593rd place
18,355
-5,353
AR-score:
386,389th place
5,355
+43
F-score:
473,039th place
10
0

German Wikipedia (de)

PR-score:
86,635th place
11,121
-131
AR-score:
61,182nd place
3,856
0
F-score:
234,023rd place
1
0

English Wikipedia (en)

PR-score:
595,720th place
5,676
-1,770
AR-score:
701,662nd place
838
0
F-score:
840,345th place
1
0

Romanian Wikipedia (ro)

PR-score:
25,293rd place
666
-2,667
AR-score:
50,375th place
33
0
F-score:
54,066th place
1
0

Russian Wikipedia (ru)

PR-score:
284,715th place
226
-17
AR-score:
245,765th place
130
0
F-score:
246,194th place
1
0

Georgian Wikipedia (ka)

PR-score:
11,341st place
187
-50
AR-score:
12,801st place
87
0
F-score:
16,718th place
1
0

Turkish Wikipedia (tr)

PR-score:
63,602nd place
180
-580
AR-score:
52,883rd place
180
+20
F-score:
82,955th place
1
0

Greek Wikipedia (el)

PR-score:
45,021st place
133
-167
AR-score:
39,711th place
88
0
F-score:
51,875th place
1
0

Ukrainian Wikipedia (uk)

PR-score:
97,383rd place
100
+8
AR-score:
126,509th place
30
+23
F-score:
148,801st place
1
0

Mingrelian Wikipedia (xmf)

PR-score:
1,789th place
33
0
AR-score:
808th place
100
0
F-score:
912th place
1
0

Bashkir Wikipedia (ba)

PR-score:
9,833rd place
30
+20
AR-score:
13,531st place
10
0
F-score:
15,414th 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...