namu.wiki

Namuwiki is a Paraguay-based Korean wiki created on April 17, 2015, powered by the proprietary wiki software The Seed. Its name, "Namu" translates literally to "tree" in Korean. According to its slogan and self-description, Namuwiki strives to share community-driven knowledge and information, whilst respecting the freedom and equal rights of every user. More information...

Multilingual Wikipedia

In June 2020 the website namu.wiki was on the 14,703rd 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 28,493rd place in June 2020. From Wikipedians' point of view, "namu.wiki" is the 23,915th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before snmjournals.org and after bates.edu in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
14,703rd place
1,893,575
-464,540
AR-score:
23,915th place
149,458
-1,140
F-score:
28,493rd place
345
+8

Chinese Wikipedia (zh)

PR-score:
1,513th place
710,394
-271,733
AR-score:
1,613th place
52,463
+465
F-score:
3,485th place
95
+1

English Wikipedia (en)

PR-score:
19,348th place
670,194
-117,666
AR-score:
33,311th place
41,653
-3,359
F-score:
32,064th place
95
+8

Korean Wikipedia (ko)

PR-score:
438th place
287,617
-64,335
AR-score:
1,442nd place
14,979
+557
F-score:
5,545th place
11
-1

Japanese Wikipedia (ja)

PR-score:
10,561st place
133,642
-678
AR-score:
6,487th place
18,416
+481
F-score:
10,569th place
39
-2

Vietnamese Wikipedia (vi)

PR-score:
4,583rd place
22,844
-1,295
AR-score:
4,144th place
4,423
+106
F-score:
5,622nd place
21
+1

Indonesian Wikipedia (id)

PR-score:
6,095th place
14,441
-2,395
AR-score:
17,238th place
880
-66
F-score:
7,627th place
14
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...