j-magazine.or.jp

A Golden Arrow Award was an accolade presented by the members of the Japan Magazine Publishers Association to recognize excellence in domestic media, such as in film, television, and music. More information...

Multilingual Wikipedia

In June 2020 the website j-magazine.or.jp was on the 7,127th 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 10,372nd place in June 2020. From Wikipedians' point of view, "j-magazine.or.jp" is the 8,554th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before lancenet.com.br and after nd.gov in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
7,127th place
4,337,642
-441,005
AR-score:
8,554th place
506,122
+7,219
F-score:
10,372nd place
1,168
+13

English Wikipedia (en)

PR-score:
6,060th place
2,579,894
-196,876
AR-score:
7,285th place
243,461
+5,183
F-score:
9,104th place
436
+7

Japanese Wikipedia (ja)

PR-score:
1,780th place
993,566
-159,970
AR-score:
1,227th place
120,888
+1,137
F-score:
2,386th place
219
+5

Chinese Wikipedia (zh)

PR-score:
3,081st place
316,848
-33,111
AR-score:
3,801st place
19,350
+227
F-score:
4,387th place
72
0

Russian Wikipedia (ru)

PR-score:
14,534th place
121,241
-29,685
AR-score:
13,046th place
13,146
+34
F-score:
8,454th place
75
0

Spanish Wikipedia (es)

PR-score:
18,437th place
94,519
-6,455
AR-score:
10,083rd place
21,669
+17
F-score:
13,086th place
35
0

Portuguese Wikipedia (pt)

PR-score:
7,121st place
94,298
-1,728
AR-score:
4,013th place
24,558
+50
F-score:
7,490th place
42
0

Indonesian Wikipedia (id)

PR-score:
8,311th place
9,597
+1,233
AR-score:
6,704th place
2,726
+34
F-score:
1,960th place
65
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...