omroepgelderland.nl

Omroep Gelderland is a regional public broadcaster for the Dutch province of Gelderland. Omroep Gelderland has its own radio station, Radio Gelderland, and TV channel, TV Gelderland, broadcasting primarily for the province itself. More information...

Multilingual Wikipedia

In June 2020 the website omroepgelderland.nl was on the 13,536th 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 13,235th place in June 2020. From Wikipedians' point of view, "omroepgelderland.nl" is the 8,069th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before uniserve.com and after uit.no in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
13,536th place
2,088,689
-378,341
AR-score:
8,069th place
540,172
+4,347
F-score:
13,235th place
875
+15

Dutch Wikipedia (nl)

PR-score:
170th place
1,613,379
+60,178
AR-score:
159th place
438,635
+2,926
F-score:
202nd place
608
+8

English Wikipedia (en)

PR-score:
35,302nd place
328,930
-421,052
AR-score:
32,647th place
42,661
+932
F-score:
26,272nd place
122
+4

German Wikipedia (de)

PR-score:
13,094th place
118,480
-9,171
AR-score:
6,733rd place
40,363
+67
F-score:
10,593rd place
49
0

Japanese Wikipedia (ja)

PR-score:
90,674th place
5,162
+45
AR-score:
110,073rd place
383
0
F-score:
81,255th place
3
0

Spanish Wikipedia (es)

PR-score:
121,862nd place
4,694
-3,376
AR-score:
56,987th place
2,710
0
F-score:
56,695th place
6
0

French Wikipedia (fr)

PR-score:
111,647th place
4,649
-833
AR-score:
32,630th place
5,701
+9
F-score:
33,326th place
15
0

Sorani Wikipedia (ckb)

PR-score:
3,811th place
40
-6
AR-score:
2,391st place
149
0
F-score:
419th 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...