gov.ns.ca

Multilingual Wikipedia

In June 2020 the website gov.ns.ca was on the 8,029th 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 8,004th place in June 2020. From Wikipedians' point of view, "gov.ns.ca" is the 5,940th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before moviezine.se and after historycooperative.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
8,029th place
3,784,996
-894,236
AR-score:
5,940th place
762,475
-9,617
F-score:
8,004th place
1,577
-5

English Wikipedia (en)

PR-score:
5,179th place
3,105,477
-657,216
AR-score:
3,411th place
574,129
-9,821
F-score:
4,909th place
896
-4

Russian Wikipedia (ru)

PR-score:
11,695th place
155,084
-86,105
AR-score:
7,804th place
23,720
+30
F-score:
6,588th place
101
0

French Wikipedia (fr)

PR-score:
9,351st place
119,656
-60,317
AR-score:
4,311th place
57,151
+153
F-score:
5,180th place
137
0

Chinese Wikipedia (zh)

PR-score:
8,492nd place
96,519
-7,379
AR-score:
7,877th place
8,451
0
F-score:
8,841st place
31
0

Spanish Wikipedia (es)

PR-score:
19,316th place
89,391
-3,002
AR-score:
21,326th place
9,078
+100
F-score:
24,599th place
17
0

German Wikipedia (de)

PR-score:
29,043rd place
48,176
-18,843
AR-score:
24,207th place
10,196
+24
F-score:
31,000th place
15
0

Italian Wikipedia (it)

PR-score:
20,788th place
26,823
-10,732
AR-score:
13,337th place
10,625
+68
F-score:
20,531st place
15
0

Arabic Wikipedia (ar)

PR-score:
18,753rd place
6,370
-8,223
AR-score:
9,323rd place
5,087
+133
F-score:
4,953rd place
47
0

Ukrainian Wikipedia (uk)

PR-score:
23,183rd place
2,777
-725
AR-score:
4,587th place
6,884
+24
F-score:
4,673rd place
40
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...