foshan.gov.cn

Foshan, alternately romanized as Fatshan, is a prefecture-level city in central Guangdong Province, China. The entire prefecture covers and has an urban population around 7.2 million in 2012. The city is part of the western side of the Pearl River Delta Economic Zone. More information...

Multilingual Wikipedia

In June 2020 the website foshan.gov.cn was on the 284,412th 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 134,359th place in June 2020. From Wikipedians' point of view, "foshan.gov.cn" is the 239,275th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before uea.edu.br and after prima-elementa.fr in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
284,412th place
52,241
-16,073
AR-score:
239,275th place
9,629
-12
F-score:
134,359th place
50
-1

German Wikipedia (de)

PR-score:
51,204th place
23,750
-5,050
AR-score:
46,744th place
5,150
0
F-score:
118,037th place
3
0

English Wikipedia (en)

PR-score:
423,352nd place
11,711
-2,365
AR-score:
546,049th place
1,309
0
F-score:
479,543rd place
3
0

Chinese Wikipedia (zh)

PR-score:
41,513th place
10,901
-5,714
AR-score:
23,086th place
2,431
-7
F-score:
9,933rd place
27
0

French Wikipedia (fr)

PR-score:
110,456th place
4,740
-1,735
AR-score:
273,900th place
219
-4
F-score:
262,852nd place
1
0

Ukrainian Wikipedia (uk)

PR-score:
66,658th place
312
-1,103
AR-score:
144,906th place
8
0
F-score:
105,721st place
1
0

Cantonese Wikipedia (zh-yue)

PR-score:
4,459th place
270
+200
AR-score:
4,666th place
160
0
F-score:
2,283rd place
3
0

Serbian Wikipedia (sr)

PR-score:
56,208th place
25
0
AR-score:
39,899th place
100
0
F-score:
27,264th place
2
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...