port.hu

PORT.hu is part of a Central European cultural project as a Hungarian cultural programme provider portal. It regularly collects, edits and translates television, cinema, theatre, festival, exhibition, sport, and concert programme information as well as information on restaurants and hotels in Hungary. It is operated by PORT-network, a company with Hungarian, American, and German ownership. More information...

Multilingual Wikipedia

In June 2020 the website port.hu was on the 5,505th 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 5,447th place in June 2020. From Wikipedians' point of view, "port.hu" is the 4,930th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
5,505th place
5,801,748
-2,512,838
AR-score:
4,930th place
941,306
+7,300
F-score:
5,447th place
2,437
+14

Hungarian Wikipedia (hu)

PR-score:
21st place
5,041,946
-2,476,855
AR-score:
36th place
690,114
+5,408
F-score:
69th place
1,570
+11

English Wikipedia (en)

PR-score:
34,691st place
335,503
-11,901
AR-score:
32,973rd place
42,188
+193
F-score:
29,194th place
107
0

Arabic Wikipedia (ar)

PR-score:
851st place
260,687
+2,502
AR-score:
460th place
154,350
+520
F-score:
604th place
502
0

Polish Wikipedia (pl)

PR-score:
4,564th place
110,112
-13,225
AR-score:
3,490th place
25,206
+248
F-score:
3,880th place
91
+1

French Wikipedia (fr)

PR-score:
68,531st place
10,455
-6,661
AR-score:
33,769th place
5,495
+32
F-score:
31,428th place
16
0

Esperanto Wikipedia (eo)

PR-score:
610th place
3,200
+900
AR-score:
1,599th place
2,750
0
F-score:
684th place
23
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...