audioculture.co.nz

AudioCulture is a New Zealand On Air funded online project billed as the "Noisy Library of New Zealand Music". Working with artists, historians and music industry people, the website tells the story of nearly 100 years of New Zealand popular music culture, from the first local recordings in the 1920s to digital streaming. More information...

Multilingual Wikipedia

In June 2020 the website audioculture.co.nz was on the 48,545th 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 17,739th place in June 2020. From Wikipedians' point of view, "audioculture.co.nz" is the 28,740th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before robertduncanmcneill.net and after greatertalent.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
48,545th place
459,832
-141,777
AR-score:
28,740th place
120,662
+585
F-score:
17,739th place
613
+8

English Wikipedia (en)

PR-score:
27,208th place
445,820
-138,307
AR-score:
14,151st place
113,489
+502
F-score:
8,457th place
476
+6

German Wikipedia (de)

PR-score:
131,689th place
5,290
+184
AR-score:
134,698th place
1,451
0
F-score:
21,503rd place
22
0

French Wikipedia (fr)

PR-score:
129,712th place
3,470
-1,464
AR-score:
100,924th place
1,507
0
F-score:
58,016th place
8
0

Italian Wikipedia (it)

PR-score:
84,243rd place
3,143
-1,323
AR-score:
40,605th place
3,088
+50
F-score:
4,349th place
88
0

Portuguese Wikipedia (pt)

PR-score:
127,786th place
785
-587
AR-score:
113,643rd place
285
0
F-score:
33,853rd place
7
0

Turkish Wikipedia (tr)

PR-score:
55,996th place
300
-350
AR-score:
33,057th place
500
0
F-score:
85,426th place
1
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...