akademika.no

Akademika (Norway) is the other organization in Bergen, Norway.

Multilingual Wikipedia

In June 2020 the website akademika.no was on the 447,540th 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 231,989th place in June 2020. From Wikipedians' point of view, "akademika.no" is the 328,150th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before sociolegalreview.com and after aventertainments.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
447,540th place
27,251
-9,407
AR-score:
328,150th place
6,566
+38
F-score:
231,989th place
25
0

Norwegian Wikipedia (no)

PR-score:
1,981st place
21,630
-8,006
AR-score:
6,654th place
3,970
0
F-score:
6,099th place
12
0

English Wikipedia (en)

PR-score:
742,926th place
3,157
-533
AR-score:
670,030th place
915
+13
F-score:
411,253rd place
4
0

Swedish Wikipedia (sv)

PR-score:
30,544th place
1,550
-650
AR-score:
28,026th place
1,150
0
F-score:
63,640th place
1
0

Chinese Wikipedia (zh)

PR-score:
140,937th place
430
+7
AR-score:
184,299th place
23
0
F-score:
198,892nd place
1
0

Italian Wikipedia (it)

PR-score:
185,920th place
266
-103
AR-score:
225,461st place
66
0
F-score:
153,386th place
1
0

Spanish Wikipedia (es)

PR-score:
315,433rd place
83
-133
AR-score:
309,871st place
50
0
F-score:
166,079th place
2
0

German Wikipedia (de)

PR-score:
400,108th place
81
+9
AR-score:
333,646th place
190
0
F-score:
397,379th place
1
0

Arabic Wikipedia (ar)

PR-score:
190,825th place
25
0
AR-score:
137,050th place
100
0
F-score:
82,454th place
2
0

Norwegian (Nynorsk) Wikipedia (nn)

PR-score:
14,652nd place
25
0
AR-score:
10,635th place
100
+25
F-score:
14,371st 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...