vip-times.co.jp

Nihon Tarento Meikan is a Japanese illustrated annual directory of Japanese entertainers, or tarentos, issued by VIP Times Inc. that was first published in 1970. The directory's company established on 1969 and its current representative director is Mutsuko Igusa. More information...

Multilingual Wikipedia

In June 2020 the website vip-times.co.jp was on the 1,511th 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 3,312th place in June 2020. From Wikipedians' point of view, "vip-times.co.jp" is the 2,064th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ethz.ch and after manutd.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
1,511th place
23,932,271
-4,710,287
AR-score:
2,064th place
2,454,755
+17,292
F-score:
3,312th place
4,257
+74

Japanese Wikipedia (ja)

PR-score:
107th place
21,884,271
-4,468,534
AR-score:
77th place
2,166,205
+15,343
F-score:
176th place
3,583
+66

English Wikipedia (en)

PR-score:
9,477th place
1,545,976
-198,314
AR-score:
7,827th place
223,989
+418
F-score:
11,390th place
334
0

Chinese Wikipedia (zh)

PR-score:
2,282nd place
445,120
-33,158
AR-score:
2,694th place
28,391
+1,542
F-score:
2,456th place
143
+8

Indonesian Wikipedia (id)

PR-score:
5,317th place
17,042
-523
AR-score:
4,742nd place
3,931
0
F-score:
3,709th place
32
0

Spanish Wikipedia (es)

PR-score:
67,156th place
15,232
-4,626
AR-score:
41,540th place
4,089
0
F-score:
30,254th place
13
0

Arabic Wikipedia (ar)

PR-score:
18,992nd place
6,250
-2,266
AR-score:
3,725th place
14,549
-250
F-score:
3,301st place
74
-1

French Wikipedia (fr)

PR-score:
173,544th place
1,789
-886
AR-score:
43,830th place
4,130
0
F-score:
97,749th place
4
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...