budstikka.no

Budstikka, prior to 2004 known as Asker og Bærum Budstikke, is a daily local newspaper published out of Billingstad in Asker, Norway. It covers the municipalities of Asker and Bærum, and is the only newspaper issued in the area. More information...

Multilingual Wikipedia

In June 2020 the website budstikka.no was on the 26,997th 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 9,753rd place in June 2020. From Wikipedians' point of view, "budstikka.no" is the 9,623rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before realzaragoza.com and after peo.gov.au in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
26,997th place
919,534
-255,363
AR-score:
9,623rd place
442,157
-1,514
F-score:
9,753rd place
1,257
+3

English Wikipedia (en)

PR-score:
26,901st place
451,567
-86,834
AR-score:
14,296th place
112,230
+484
F-score:
10,638th place
363
+1

Norwegian Wikipedia (no)

PR-score:
131st place
366,916
-135,976
AR-score:
130th place
272,199
-697
F-score:
173rd place
598
+1

German Wikipedia (de)

PR-score:
25,611th place
55,897
-22,683
AR-score:
11,779th place
21,998
+110
F-score:
11,898th place
43
+1

Russian Wikipedia (ru)

PR-score:
75,719th place
13,113
-1,650
AR-score:
61,626th place
2,116
0
F-score:
31,983rd place
15
0

French Wikipedia (fr)

PR-score:
90,470th place
6,742
-1,450
AR-score:
35,781st place
5,171
+6
F-score:
19,048th place
29
0

Italian Wikipedia (it)

PR-score:
76,594th place
3,815
+213
AR-score:
19,877th place
6,892
+29
F-score:
9,127th place
37
0

Norwegian (Nynorsk) Wikipedia (nn)

PR-score:
685th place
2,593
-1,533
AR-score:
621st place
4,495
-1,553
F-score:
550th place
31
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...