mainichi-msn.co.jp

Multilingual Wikipedia

In June 2020 the website mainichi-msn.co.jp was on the 14,517th 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 17,846th place in June 2020. From Wikipedians' point of view, "mainichi-msn.co.jp" is the 15,156th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before nbcconnecticut.com and after france-phaleristique.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
14,517th place
1,921,802
-225,015
AR-score:
15,156th place
256,890
+829
F-score:
17,846th place
609
+2

Japanese Wikipedia (ja)

PR-score:
1,956th place
895,258
-25,846
AR-score:
2,023rd place
69,621
+353
F-score:
3,100th place
160
+1

English Wikipedia (en)

PR-score:
19,678th place
656,897
-109,755
AR-score:
16,190th place
97,503
+322
F-score:
17,540th place
199
0

Spanish Wikipedia (es)

PR-score:
11,935th place
159,263
-42,730
AR-score:
6,786th place
34,047
+17
F-score:
24,470th place
17
0

Chinese Wikipedia (zh)

PR-score:
8,616th place
95,033
-17,076
AR-score:
16,782nd place
3,555
+7
F-score:
14,746th place
17
0

Korean Wikipedia (ko)

PR-score:
3,252nd place
30,019
+1,169
AR-score:
2,825th place
6,886
+26
F-score:
4,788th place
13
0

Russian Wikipedia (ru)

PR-score:
56,772nd place
20,860
-4,230
AR-score:
74,328th place
1,646
+17
F-score:
16,048th place
35
0

French Wikipedia (fr)

PR-score:
44,343rd place
19,120
-4,967
AR-score:
18,757th place
10,444
+57
F-score:
9,957th place
63
0

Italian Wikipedia (it)

PR-score:
35,532nd place
13,388
-5,158
AR-score:
17,449th place
7,956
-3
F-score:
40,259th place
7
0

Thai Wikipedia (th)

PR-score:
10,116th place
3,500
-704
AR-score:
5,457th place
1,843
0
F-score:
2,343rd place
21
0
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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...