omelete.com.br

Omelete is a Brazilian entertainment website created in 2000 by Érico Borgo, Marcelo Forlani and Marcelo Hessel that covers some subjects of pop culture such as movies, comics, music, television and video games. More information...

Multilingual Wikipedia

In June 2020 the website omelete.com.br was on the 4,079th 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 6,014th place in June 2020. From Wikipedians' point of view, "omelete.com.br" is the 4,885th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before fraunhofer.de and after mylifetime.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
4,079th place
8,109,846
+122,453
AR-score:
4,885th place
952,044
+15,285
F-score:
6,014th place
2,166
+55

Portuguese Wikipedia (pt)

PR-score:
104th place
7,650,342
+181,336
AR-score:
163rd place
875,897
+10,838
F-score:
249th place
1,962
+44

English Wikipedia (en)

PR-score:
32,874th place
356,951
-24,640
AR-score:
27,354th place
52,485
+3,880
F-score:
27,373rd place
116
+4

Spanish Wikipedia (es)

PR-score:
22,044th place
75,371
-30,294
AR-score:
13,151st place
15,910
+156
F-score:
22,139th place
19
0

French Wikipedia (fr)

PR-score:
60,323rd place
12,638
-2,738
AR-score:
75,234th place
2,209
+305
F-score:
20,282nd place
27
+6

Japanese Wikipedia (ja)

PR-score:
93,298th place
4,835
-737
AR-score:
119,232nd place
312
+3
F-score:
64,401st place
4
+1

Italian Wikipedia (it)

PR-score:
68,635th place
4,715
-26
AR-score:
49,463rd place
2,426
+100
F-score:
73,805th place
3
0

Russian Wikipedia (ru)

PR-score:
168,994th place
2,079
-117
AR-score:
205,965th place
233
0
F-score:
53,570th place
8
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...