borsen.dk

Børsen is a Danish newspaper specialising in business news published in Denmark. More information...

Multilingual Wikipedia

In June 2020 the website borsen.dk was on the 13,479th 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 10,420th place in June 2020. From Wikipedians' point of view, "borsen.dk" is the 11,200th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before bcs.org and after afb.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
13,479th place
2,096,286
-413,168
AR-score:
11,200th place
369,621
-1,274
F-score:
10,420th place
1,162
-18

Danish Wikipedia (da)

PR-score:
36th place
1,174,192
-260,920
AR-score:
72nd place
228,631
-519
F-score:
97th place
624
-4

English Wikipedia (en)

PR-score:
19,849th place
650,038
-113,004
AR-score:
18,144th place
85,419
+1,303
F-score:
12,298th place
305
+4

German Wikipedia (de)

PR-score:
17,242nd place
87,479
+42,948
AR-score:
38,868th place
6,249
+33
F-score:
16,001st place
31
0

Spanish Wikipedia (es)

PR-score:
31,423rd place
47,361
-22,351
AR-score:
40,710th place
4,194
-510
F-score:
47,307th place
8
0

Dutch Wikipedia (nl)

PR-score:
5,786th place
36,930
-25,397
AR-score:
7,069th place
6,777
-254
F-score:
4,039th place
20
0

French Wikipedia (fr)

PR-score:
28,694th place
32,991
-13,824
AR-score:
26,175th place
7,261
-1,447
F-score:
38,660th place
13
-19

Italian Wikipedia (it)

PR-score:
37,570th place
12,389
-4,457
AR-score:
28,009th place
4,711
+69
F-score:
11,058th place
30
+1

Norwegian Wikipedia (no)

PR-score:
5,802nd place
6,334
-2,297
AR-score:
2,925th place
9,808
+5
F-score:
2,325th place
39
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...