hyperreal.org

Hyperreal.org, also known as Hyperreal, is a rave culture website founded by Brian Behlendorf in 1994. It is based in San Francisco, California, United States. More information...

Multilingual Wikipedia

In June 2020 the website hyperreal.org was on the 16,476th 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 26,921st place in June 2020. From Wikipedians' point of view, "hyperreal.org" is the 16,114th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before rovers.co.uk and after cancaonova.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
16,476th place
1,646,477
-407,710
AR-score:
16,114th place
238,548
+861
F-score:
26,921st place
370
+1

English Wikipedia (en)

PR-score:
11,776th place
1,195,337
-296,784
AR-score:
11,382nd place
144,739
+541
F-score:
21,189th place
159
0

Spanish Wikipedia (es)

PR-score:
16,405th place
109,500
-35,574
AR-score:
16,712th place
12,050
+48
F-score:
30,961st place
13
0

Russian Wikipedia (ru)

PR-score:
20,378th place
81,051
-31,731
AR-score:
11,657th place
14,949
+5
F-score:
25,506th place
20
0

French Wikipedia (fr)

PR-score:
13,880th place
76,786
-25,462
AR-score:
11,910th place
17,463
+62
F-score:
22,466th place
24
0

Portuguese Wikipedia (pt)

PR-score:
10,670th place
59,733
+9,173
AR-score:
11,994th place
7,224
+8
F-score:
25,282nd place
10
0

Italian Wikipedia (it)

PR-score:
25,291st place
21,011
-13,030
AR-score:
24,556th place
5,469
+6
F-score:
11,404th place
29
0

Polish Wikipedia (pl)

PR-score:
18,550th place
19,992
-1,456
AR-score:
8,073rd place
9,714
+20
F-score:
30,271st place
8
0

German Wikipedia (de)

PR-score:
58,572nd place
19,743
-4,439
AR-score:
34,097th place
7,156
0
F-score:
22,829th place
21
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...