books.com.tw

Books.com.tw or Pok'elai, originally established as an online bookstore, is Taiwan's largest Internet retailer. More information...

Multilingual Wikipedia

In June 2020 the website books.com.tw was on the 2,607th 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 5,566th place in June 2020. From Wikipedians' point of view, "books.com.tw" is the 4,956th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before airwar.ru and after slashdot.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
2,607th place
13,411,032
-102,636
AR-score:
4,956th place
935,602
+11,582
F-score:
5,566th place
2,378
+66

Chinese Wikipedia (zh)

PR-score:
109th place
12,656,082
-69,136
AR-score:
117th place
827,892
+4,250
F-score:
199th place
1,947
+49

English Wikipedia (en)

PR-score:
22,562nd place
557,824
+3,497
AR-score:
18,830th place
82,027
+7,204
F-score:
15,721st place
226
+15

Japanese Wikipedia (ja)

PR-score:
13,948th place
96,171
-24,325
AR-score:
15,917th place
6,620
-4
F-score:
11,437th place
36
0

Russian Wikipedia (ru)

PR-score:
26,736th place
58,529
-9,550
AR-score:
49,155th place
2,834
0
F-score:
14,924th place
38
0

Spanish Wikipedia (es)

PR-score:
74,014th place
12,884
-1,256
AR-score:
82,803rd place
1,585
+14
F-score:
31,023rd place
13
+1

German Wikipedia (de)

PR-score:
150,327th place
4,007
+962
AR-score:
73,593rd place
3,133
0
F-score:
50,321st place
9
0

Classical Chinese Wikipedia (zh-classical)

PR-score:
94th place
1,900
0
AR-score:
26th place
3,500
0
F-score:
317th place
1
0

Ukrainian Wikipedia (uk)

PR-score:
30,507th place
1,733
+619
AR-score:
44,485th place
433
0
F-score:
6,891st place
26
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...