oxigeno.fm

Multilingual Wikipedia

In June 2020 the website oxigeno.fm was on the 54,417th 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 58,320th place in June 2020. From Wikipedians' point of view, "oxigeno.fm" is the 61,520th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before naomiklein.org and after bambi-awards.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
54,417th place
402,217
-45,812
AR-score:
61,520th place
48,465
+1,892
F-score:
58,320th place
143
+14

Spanish Wikipedia (es)

PR-score:
7,216th place
284,614
-25,018
AR-score:
7,088th place
32,260
+2,051
F-score:
7,686th place
66
+13

English Wikipedia (en)

PR-score:
103,075th place
90,558
-12,501
AR-score:
91,979th place
12,595
-186
F-score:
63,129th place
41
0

Bulgarian Wikipedia (bg)

PR-score:
5,402nd place
8,500
-2,900
AR-score:
23,207th place
300
0
F-score:
45,192nd place
1
0

German Wikipedia (de)

PR-score:
134,982nd place
5,030
-1,406
AR-score:
181,737th place
900
-31
F-score:
379,694th place
1
0

Italian Wikipedia (it)

PR-score:
66,791st place
4,975
-1,445
AR-score:
127,016th place
537
+8
F-score:
83,696th place
3
0

Portuguese Wikipedia (pt)

PR-score:
67,862nd place
4,142
-321
AR-score:
85,061st place
526
+6
F-score:
46,831st place
5
0

Catalan Wikipedia (ca)

PR-score:
11,391st place
2,225
-2,533
AR-score:
31,240th place
691
0
F-score:
112,624th place
1
0

Asturian Wikipedia (ast)

PR-score:
8,991st place
293
-68
AR-score:
16,793rd place
156
+8
F-score:
3,806th place
13
0

Armenian Wikipedia (hy)

PR-score:
22,625th place
136
+78
AR-score:
38,708th place
63
+12
F-score:
18,546th place
3
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...