seac.gov.cn

The National Ethnic Affairs Commission of the People's Republic of China is a cabinet-level department under the State Council of the People's Republic of China and responsible for relations between the Central Government and ethnic minorities in China. In 2018, NEAC was placed under the leadership of the United Front Work Department of the Communist Party of China. More information...

Multilingual Wikipedia

In June 2020 the website seac.gov.cn was on the 85,569th 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 57,233rd place in June 2020. From Wikipedians' point of view, "seac.gov.cn" is the 81,969th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before dhliz.com and after ifixit.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
85,569th place
235,104
-15,934
AR-score:
81,969th place
34,495
+38
F-score:
57,233rd place
147
0

Chinese Wikipedia (zh)

PR-score:
4,672nd place
196,377
-10,954
AR-score:
2,750th place
27,659
-7
F-score:
2,868th place
120
0

English Wikipedia (en)

PR-score:
255,295th place
27,068
-1,954
AR-score:
260,255th place
3,657
+24
F-score:
208,928th place
9
0

Russian Wikipedia (ru)

PR-score:
111,670th place
6,118
-4,137
AR-score:
156,025th place
470
0
F-score:
195,418th place
1
0

French Wikipedia (fr)

PR-score:
163,214th place
2,082
-479
AR-score:
130,060th place
1,045
+10
F-score:
113,177th place
3
0

Japanese Wikipedia (ja)

PR-score:
128,630th place
2,032
+905
AR-score:
65,871st place
1,026
0
F-score:
67,423rd place
4
0

Cantonese Wikipedia (zh-yue)

PR-score:
2,482nd place
933
+833
AR-score:
5,075th place
133
0
F-score:
1,331st place
5
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...