voynich.nu

Multilingual Wikipedia

In June 2020 the website voynich.nu was on the 54,562nd 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 48,249th place in June 2020. From Wikipedians' point of view, "voynich.nu" is the 54,881st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before cannabis-med.org and after j-pop.it in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
54,562nd place
400,928
-113,845
AR-score:
54,881st place
55,597
+657
F-score:
48,249th place
181
0

English Wikipedia (en)

PR-score:
40,080th place
282,780
-77,468
AR-score:
50,442nd place
25,363
+636
F-score:
70,605th place
35
0

Russian Wikipedia (ru)

PR-score:
47,595th place
27,142
-4,321
AR-score:
48,616th place
2,876
-13
F-score:
50,100th place
8
0

Hungarian Wikipedia (hu)

PR-score:
4,669th place
21,450
-10,175
AR-score:
4,905th place
4,928
0
F-score:
2,559th place
39
0

French Wikipedia (fr)

PR-score:
43,352nd place
19,702
-12,962
AR-score:
46,896th place
3,838
+18
F-score:
50,833rd place
9
0

Dutch Wikipedia (nl)

PR-score:
13,085th place
11,683
+2,383
AR-score:
14,369th place
2,833
+17
F-score:
25,902nd place
2
0

German Wikipedia (de)

PR-score:
125,584th place
5,800
+1,200
AR-score:
65,010th place
3,600
0
F-score:
249,933rd place
1
0

Turkish Wikipedia (tr)

PR-score:
22,476th place
2,921
-2,112
AR-score:
18,359th place
1,267
0
F-score:
4,273rd place
20
0

Serbian Wikipedia (sr)

PR-score:
19,981st place
754
-245
AR-score:
17,403rd place
519
0
F-score:
2,711th place
24
0

Serbo-Croatian Wikipedia (sh)

PR-score:
14,351st place
176
-70
AR-score:
22,381st place
28
0
F-score:
2,685th place
10
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...