shogi.or.jp

The Japan Shogi Association, or JSA, is the primary organizing body for professional shogi in Japan. The JSA sets the professional calendar, negotiates sponsorship and media promotion deals, helps organize tournaments and title matches, publishes shogi-related materials, supervises and trains apprentice professionals as well as many other activities. More information...

Multilingual Wikipedia

In June 2020 the website shogi.or.jp was on the 1,109th 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 1,831st place in June 2020. From Wikipedians' point of view, "shogi.or.jp" is the 5,078th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
1,109th place
32,967,432
+21,750,082
AR-score:
5,078th place
909,406
+4,105
F-score:
1,831st place
8,357
+50

Japanese Wikipedia (ja)

PR-score:
70th place
31,218,020
+21,578,510
AR-score:
269th place
657,140
+1,581
F-score:
103rd place
5,765
+48

English Wikipedia (en)

PR-score:
9,953rd place
1,458,880
+160,155
AR-score:
8,603rd place
200,519
+2,111
F-score:
2,431st place
1,923
+2

Chinese Wikipedia (zh)

PR-score:
5,319th place
167,529
+63,540
AR-score:
10,312th place
6,211
0
F-score:
12,147th place
21
0

Russian Wikipedia (ru)

PR-score:
23,654th place
67,881
-8,679
AR-score:
14,509th place
11,704
+67
F-score:
9,467th place
66
0

French Wikipedia (fr)

PR-score:
46,998th place
17,758
-7,253
AR-score:
12,401st place
16,661
+46
F-score:
2,147th place
393
0

Arabic Wikipedia (ar)

PR-score:
13,673rd place
9,816
+633
AR-score:
6,694th place
7,483
0
F-score:
3,302nd place
74
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...