Takarajimasha, Inc. is a Japanese publishing company based in Chiyoda, Tokyo. It is known for publishing subculture-oriented fashion magazines aimed at teens, fashion magazines in general, as well as guide books. More information...

Multilingual Wikipedia

In June 2020 the website tkj.jp was on the 12,751st 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 24,375th place in June 2020. From Wikipedians' point of view, "tkj.jp" is the 29,512th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before laff.jp and after ibhof.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
12,751st place
2,236,441
-623,166
AR-score:
29,512th place
116,698
-269
F-score:
24,375th place
418
+4

Japanese Wikipedia (ja)

PR-score:
1,164th place
1,593,740
-539,578
AR-score:
1,833rd place
77,802
-410
F-score:
2,212th place
240
+4

Chinese Wikipedia (zh)

PR-score:
2,962nd place
331,171
-44,489
AR-score:
7,166th place
9,443
+2
F-score:
7,050th place
40
0

English Wikipedia (en)

PR-score:
74,912th place
134,208
-6,905
AR-score:
176,979th place
5,833
+87
F-score:
80,771st place
30
0

Spanish Wikipedia (es)

PR-score:
19,197th place
90,050
-16,357
AR-score:
24,333rd place
7,776
0
F-score:
29,648th place
13
0

French Wikipedia (fr)

PR-score:
17,872nd place
57,688
-12,633
AR-score:
19,490th place
10,010
-38
F-score:
43,731st place
11
0

Italian Wikipedia (it)

PR-score:
39,572nd place
11,466
-2,311
AR-score:
35,912th place
3,562
+90
F-score:
9,765th place
34
0

Indonesian Wikipedia (id)

PR-score:
60,298th place
190
-97
AR-score:
31,594th place
352
0
F-score:
6,404th place
17
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...