heol.hu

Multilingual Wikipedia

In June 2020 the website heol.hu was on the 53,830th 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 54,275th place in June 2020. From Wikipedians' point of view, "heol.hu" is the 55,330th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before resdal.org and after cinefania.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
53,830th place
407,550
-35,513
AR-score:
55,330th place
55,040
-1,303
F-score:
54,275th place
157
+1

Hungarian Wikipedia (hu)

PR-score:
304th place
372,302
-17,544
AR-score:
571st place
47,629
+770
F-score:
842nd place
132
+2

English Wikipedia (en)

PR-score:
218,107th place
33,993
-16,825
AR-score:
174,135th place
5,945
-2,074
F-score:
254,904th place
7
-1

German Wikipedia (de)

PR-score:
274,312th place
736
+62
AR-score:
205,370th place
703
0
F-score:
61,548th place
7
0

Persian Wikipedia (fa)

PR-score:
54,692nd place
193
+45
AR-score:
69,540th place
48
0
F-score:
48,913th place
1
0

Czech Wikipedia (cs)

PR-score:
68,458th place
175
-25
AR-score:
49,397th place
250
0
F-score:
61,946th place
1
0

Latvian Wikipedia (lv)

PR-score:
14,665th place
83
-1,222
AR-score:
11,747th place
183
0
F-score:
13,310th place
1
0

Polish Wikipedia (pl)

PR-score:
163,798th place
33
0
AR-score:
106,777th place
233
0
F-score:
43,469th place
5
0

French Wikipedia (fr)

PR-score:
400,608th place
20
0
AR-score:
403,961st place
20
0
F-score:
401,213th place
1
0

Japanese Wikipedia (ja)

PR-score:
248,550th place
9
0
AR-score:
229,724th place
18
0
F-score:
232,825th place
1
0

Tatar Wikipedia (tt)

PR-score:
7,606th place
4
-4
AR-score:
7,507th place
8
0
F-score:
7,238th place
1
0

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...