Bergensavisen, usually shortened to BA, is the second largest newspaper in Bergen, Norway. It has its headquarters in Bergen and is published in tabloid format. The newspaper webpage ba.no is Bergen's largest local newspaper webpage. More information...

Multilingual Wikipedia

In June 2020 the website ba.no was on the 17,775th 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 7,601st place in June 2020. From Wikipedians' point of view, "ba.no" is the 7,187th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before limburger.nl and after olimpijski.pl in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
17,775th place
1,508,830
-341,373
AR-score:
7,187th place
613,213
+1,924
F-score:
7,601st place
1,667
+4

Norwegian Wikipedia (no)

PR-score:
70th place
704,444
-298,207
AR-score:
100th place
363,525
+833
F-score:
137th place
829
+4

English Wikipedia (en)

PR-score:
22,791st place
551,248
-1,026
AR-score:
10,732nd place
154,990
+720
F-score:
9,199th place
430
0

German Wikipedia (de)

PR-score:
26,479th place
53,772
+5,129
AR-score:
25,006th place
9,864
+16
F-score:
11,669th place
44
0

Spanish Wikipedia (es)

PR-score:
31,506th place
47,189
-16,623
AR-score:
29,194th place
6,242
+46
F-score:
25,256th place
16
0

Norwegian (Nynorsk) Wikipedia (nn)

PR-score:
43rd place
36,123
-14,216
AR-score:
80th place
32,891
+68
F-score:
248th place
80
0

Danish Wikipedia (da)

PR-score:
1,557th place
28,015
-2,670
AR-score:
1,827th place
8,155
+31
F-score:
2,254th place
20
0

Italian Wikipedia (it)

PR-score:
39,706th place
11,405
-2,422
AR-score:
18,114th place
7,622
+17
F-score:
7,317th place
48
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...