taitung.gov.tw

Taitung County is the third largest county in Taiwan, located primarily on the island's southeastern coast and also including Green Island, Orchid Island and Lesser Orchid Island. More information...

Multilingual Wikipedia

In June 2020 the website taitung.gov.tw was on the 33,138th 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 22,923rd place in June 2020. From Wikipedians' point of view, "taitung.gov.tw" is the 26,182nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before internet2.edu and after mwc-cmm.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
33,138th place
721,283
+66,647
AR-score:
26,182nd place
134,660
+4,414
F-score:
22,923rd place
450
+4

Chinese Wikipedia (zh)

PR-score:
1,878th place
551,424
+80,774
AR-score:
1,166th place
74,860
+4,342
F-score:
1,318th place
293
+4

English Wikipedia (en)

PR-score:
70,098th place
145,216
-14,668
AR-score:
32,448th place
42,941
-23
F-score:
37,289th place
79
0

Japanese Wikipedia (ja)

PR-score:
68,077th place
9,449
-1,397
AR-score:
26,361st place
3,608
+11
F-score:
20,005th place
19
0

German Wikipedia (de)

PR-score:
145,282nd place
4,318
+722
AR-score:
61,214th place
3,852
0
F-score:
15,213th place
33
0

Spanish Wikipedia (es)

PR-score:
154,034th place
2,550
+40
AR-score:
110,151st place
1,000
0
F-score:
116,184th place
3
0

Vietnamese Wikipedia (vi)

PR-score:
22,286th place
2,200
-200
AR-score:
6,190th place
2,800
0
F-score:
49,348th place
2
0

Polish Wikipedia (pl)

PR-score:
79,082nd place
1,233
+367
AR-score:
92,949th place
333
0
F-score:
51,603rd place
4
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...