siliconstudio.co.jp

Multilingual Wikipedia

In June 2020 the website siliconstudio.co.jp was on the 123,854th 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 127,693rd place in June 2020. From Wikipedians' point of view, "siliconstudio.co.jp" is the 266,976th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before agglo-montbeliard.fr and after collezionismofumetti.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
123,854th place
150,804
-32,578
AR-score:
266,976th place
8,438
+17
F-score:
127,693rd place
54
0

English Wikipedia (en)

PR-score:
127,893rd place
69,130
-12,109
AR-score:
228,576th place
4,297
+4
F-score:
104,485th place
22
0

Japanese Wikipedia (ja)

PR-score:
19,345th place
63,893
-17,404
AR-score:
32,227th place
2,816
-1
F-score:
17,012th place
23
0

Russian Wikipedia (ru)

PR-score:
93,787th place
8,837
-1,283
AR-score:
216,959th place
200
+3
F-score:
159,484th place
2
0

French Wikipedia (fr)

PR-score:
88,195th place
7,028
-157
AR-score:
129,091st place
1,057
+7
F-score:
189,024th place
2
0

Spanish Wikipedia (es)

PR-score:
206,543rd place
966
-121
AR-score:
330,525th place
27
+2
F-score:
87,675th place
4
0

Chinese Wikipedia (zh)

PR-score:
117,074th place
947
-1,505
AR-score:
172,062nd place
38
0
F-score:
186,602nd place
1
0

Popularity and reliability assessment of sources in references of Wikipedia in different languages. Data extraction based on complex method using Wikimedia dumps in July 2020. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details in the research "Modeling Popularity and Reliability of Sources in Multilingual Wikipedia". Values for PR-score and AR-score were additinaly increased 100 times (to distinguish smaller values in the ranking).