businessweekly.com.tw

Multilingual Wikipedia

In June 2020 the website businessweekly.com.tw was on the 5,998th 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 17,971st place in June 2020. From Wikipedians' point of view, "businessweekly.com.tw" is the 14,744th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before timescolonist.com and after rivals.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
5,998th place
5,272,108
+353,857
AR-score:
14,744th place
266,626
+2,250
F-score:
17,971st place
605
+8

Chinese Wikipedia (zh)

PR-score:
274th place
5,132,214
+398,160
AR-score:
406th place
248,474
+2,220
F-score:
773rd place
523
+8

English Wikipedia (en)

PR-score:
138,975th place
62,125
-24,918
AR-score:
180,848th place
5,684
+51
F-score:
100,900th place
23
0

Japanese Wikipedia (ja)

PR-score:
25,201st place
45,227
-16,139
AR-score:
21,026th place
4,733
-34
F-score:
10,676th place
39
0

Cantonese Wikipedia (zh-yue)

PR-score:
242nd place
19,309
-407
AR-score:
316th place
4,505
0
F-score:
1,012th place
7
0

Persian Wikipedia (fa)

PR-score:
9,003rd place
9,544
-1,833
AR-score:
28,905th place
544
+11
F-score:
52,356th place
1
0

German Wikipedia (de)

PR-score:
198,557th place
2,040
-156
AR-score:
100,626th place
2,143
0
F-score:
103,033rd place
4
0
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Popularity and reliability assessment of sources in references of Wikipedia in different languages. Data extraction based on complex method using Wikimedia dumps in July 2020. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details in the research "Modeling Popularity and Reliability of Sources in Multilingual Wikipedia". Values for PR-score and AR-score were additinaly increased 100 times (to distinguish smaller values in the ranking).