glay.co.jp

GLAY is a Japanese rock band, formed in Hakodate in 1988. Glay primarily composes songs in the rock and pop genres, but they have also arranged songs using elements from a wide variety of genres, including progressive rock, punk, electronic, R&B, folk, gospel, reggae, and ska. Originally a visual kei band, the group slowly shifted to less dramatic attire through the years. As of 2008, Glay had sold an estimated 51 million records; 28 million singles and 23 million albums, making them one of the top ten best-selling artists of all time in Japan. More information...

Multilingual Wikipedia

In June 2020 the website glay.co.jp was on the 15,584th 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 30,357th place in June 2020. From Wikipedians' point of view, "glay.co.jp" is the 38,745th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before rah.ru and after apnic.net in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
15,584th place
1,762,498
+554,938
AR-score:
38,745th place
84,305
+2,171
F-score:
30,357th place
320
+1

Japanese Wikipedia (ja)

PR-score:
1,090th place
1,701,408
+511,044
AR-score:
1,718th place
83,527
+2,156
F-score:
1,750th place
314
+1

English Wikipedia (en)

PR-score:
142,971st place
59,828
+44,382
AR-score:
816,685th place
602
+15
F-score:
554,367th place
3
0

French Wikipedia (fr)

PR-score:
225,404th place
838
-397
AR-score:
354,475th place
77
0
F-score:
363,672nd place
1
0

Polish Wikipedia (pl)

PR-score:
109,349th place
415
-91
AR-score:
143,413th place
82
0
F-score:
167,269th place
1
0

Portuguese Wikipedia (pt)

PR-score:
225,882nd place
7
0
AR-score:
213,684th place
15
0
F-score:
203,046th 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...