ifpi.dk

IFPI Danmark, IFPI Denmark is the Danish branch of the International Federation of the Phonographic Industry and is the official charts provider and recording sales certification body for Denmark. More information...

Multilingual Wikipedia

In June 2020 the website ifpi.dk was on the 4,339th 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 1,702nd place in June 2020. From Wikipedians' point of view, "ifpi.dk" is the 3,535th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before dictionaryofeconomics.com and after ontheissues.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
4,339th place
7,541,410
-1,925,055
AR-score:
3,535th place
1,351,403
-16,028
F-score:
1,702nd place
9,053
+67

English Wikipedia (en)

PR-score:
3,410th place
4,958,443
-1,069,578
AR-score:
2,821st place
698,185
-1,864
F-score:
2,654th place
1,748
+17

Danish Wikipedia (da)

PR-score:
56th place
803,412
-360,268
AR-score:
71st place
229,035
+618
F-score:
37th place
1,228
0

German Wikipedia (de)

PR-score:
5,165th place
330,513
-52,499
AR-score:
4,252nd place
67,059
-2,661
F-score:
2,281st place
296
-18

Spanish Wikipedia (es)

PR-score:
6,509th place
321,029
-120,695
AR-score:
3,515th place
73,767
-1,973
F-score:
1,214th place
596
-16

Japanese Wikipedia (ja)

PR-score:
5,486th place
281,572
-69,471
AR-score:
13,430th place
8,016
+105
F-score:
2,710th place
187
+2

French Wikipedia (fr)

PR-score:
4,361st place
279,340
-74,440
AR-score:
3,373rd place
75,886
+223
F-score:
1,546th place
555
+1

Portuguese Wikipedia (pt)

PR-score:
7,230th place
92,679
-17,435
AR-score:
2,738th place
37,746
-225
F-score:
782nd place
610
+9
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...