konomanga.jp

Kono Manga ga Sugoi! is an annual reference mook series published by Takarajimasha featuring yearly rankings and reviews of manga. The series is part of Takarajimasha's other mook series, including Kono Eiga ga Sugoi!, which focuses on film; Kono Mystery ga Sugoi!, which focuses on mystery novels; and Kono Light Novel ga Sugoi!, which focuses on light novels. More information...

Multilingual Wikipedia

In June 2020 the website konomanga.jp was on the 8,948th 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 19,369th place in June 2020. From Wikipedians' point of view, "konomanga.jp" is the 33,403rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before closerweekly.com and after lechaim.ru in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
8,948th place
3,349,243
+144,609
AR-score:
33,403rd place
100,823
+1,673
F-score:
19,369th place
553
+5

Japanese Wikipedia (ja)

PR-score:
868th place
2,195,841
+171,593
AR-score:
1,862nd place
76,763
+482
F-score:
1,416th place
394
0

Chinese Wikipedia (zh)

PR-score:
2,212th place
459,255
+37,548
AR-score:
6,717th place
10,143
+241
F-score:
6,345th place
46
0

English Wikipedia (en)

PR-score:
26,607th place
457,214
-34,568
AR-score:
148,004th place
7,205
+804
F-score:
43,463rd place
65
+1

Spanish Wikipedia (es)

PR-score:
16,107th place
111,894
-9,320
AR-score:
57,433rd place
2,686
0
F-score:
85,734th place
4
0

Russian Wikipedia (ru)

PR-score:
20,989th place
78,091
-11,937
AR-score:
89,232nd place
1,257
+36
F-score:
36,109th place
13
0

Italian Wikipedia (it)

PR-score:
42,364th place
10,386
-6,423
AR-score:
93,336th place
974
+40
F-score:
42,985th place
6
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...