mk.co.kr

The Maeil Business Newspaper is South Korea's main daily business newspaper. As of 2001, it had a circulation of roughly 900,000. The president of the publishing company is Chang Dae-hwan. More information...

Multilingual Wikipedia

In June 2020 the website mk.co.kr was on the 1,088th 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 1,916th place in June 2020. From Wikipedians' point of view, "mk.co.kr" is the 1,692nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before dmm.co.jp and after deutschlandfunk.de in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
1,088th place
33,586,230
-2,400,505
AR-score:
1,692nd place
3,034,197
+34,665
F-score:
1,916th place
7,950
+121

English Wikipedia (en)

PR-score:
1,038th place
18,565,840
-2,272,327
AR-score:
3,239th place
605,377
+11,101
F-score:
2,470th place
1,882
+32

Korean Wikipedia (ko)

PR-score:
12th place
9,094,458
+215,534
AR-score:
14th place
2,038,848
+16,490
F-score:
21st place
3,486
+15

Chinese Wikipedia (zh)

PR-score:
453rd place
2,966,501
-565,405
AR-score:
701st place
133,255
+4,240
F-score:
917th place
441
+16

Japanese Wikipedia (ja)

PR-score:
1,960th place
892,438
+29,958
AR-score:
1,620th place
88,369
+882
F-score:
1,788th place
307
+11

Portuguese Wikipedia (pt)

PR-score:
1,155th place
647,625
+236,468
AR-score:
3,919th place
25,205
+286
F-score:
2,064th place
198
+8

Indonesian Wikipedia (id)

PR-score:
275th place
411,428
+19,610
AR-score:
882nd place
20,783
+455
F-score:
419th place
330
+9

Vietnamese Wikipedia (vi)

PR-score:
597th place
227,955
-62,935
AR-score:
790th place
28,035
+419
F-score:
807th place
207
+2
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...