isejingu.or.jp

The Ise Grand Shrine, located in Ise, Mie Prefecture of Japan, is a Shinto shrine dedicated to the sun goddess Amaterasu. Officially known simply as, Ise Jingū is a shrine complex composed of many Shinto shrines centered on two main shrines, and. More information...

Multilingual Wikipedia

In June 2020 the website isejingu.or.jp was on the 56,862nd 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 61,339th place in June 2020. From Wikipedians' point of view, "isejingu.or.jp" is the 83,572nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ebtekarnews.com and after abbaontv.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
56,862nd place
382,062
-27,784
AR-score:
83,572nd place
33,702
+129
F-score:
61,339th place
134
0

Japanese Wikipedia (ja)

PR-score:
8,089th place
180,726
+5,734
AR-score:
11,066th place
10,010
+102
F-score:
7,632nd place
57
0

Chinese Wikipedia (zh)

PR-score:
7,675th place
109,506
-9,139
AR-score:
11,704th place
5,394
+7
F-score:
32,408th place
6
0

English Wikipedia (en)

PR-score:
131,413th place
66,781
-15,288
AR-score:
212,245th place
4,698
+5
F-score:
124,051st place
18
0

Spanish Wikipedia (es)

PR-score:
95,117th place
8,004
-2,673
AR-score:
62,531st place
2,398
0
F-score:
24,155th place
17
0

French Wikipedia (fr)

PR-score:
97,666th place
5,917
-1,361
AR-score:
93,760th place
1,671
0
F-score:
95,509th place
4
0

Arabic Wikipedia (ar)

PR-score:
36,392nd place
2,200
+200
AR-score:
13,327th place
3,400
0
F-score:
43,437th place
3
0

Catalan Wikipedia (ca)

PR-score:
28,374th place
594
+109
AR-score:
29,333rd place
744
+15
F-score:
9,783rd place
12
0
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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...