policyarchive.org

Multilingual Wikipedia

In June 2020 the website policyarchive.org was on the 48,040th 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 44,225th place in June 2020. From Wikipedians' point of view, "policyarchive.org" is the 54,861st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ipol.im and after utdt.edu in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
48,040th place
465,432
-151,994
AR-score:
54,861st place
55,621
-375
F-score:
44,225th place
202
+2

English Wikipedia (en)

PR-score:
33,835th place
345,153
-87,027
AR-score:
33,488th place
41,377
-205
F-score:
32,106th place
95
-1

Russian Wikipedia (ru)

PR-score:
29,553rd place
51,702
-45,819
AR-score:
48,516th place
2,883
-1
F-score:
70,475th place
5
0

Japanese Wikipedia (ja)

PR-score:
55,352nd place
13,850
-932
AR-score:
103,459th place
438
+8
F-score:
106,818th place
2
0

Chinese Wikipedia (zh)

PR-score:
36,470th place
13,605
-2,007
AR-score:
63,041st place
599
+13
F-score:
26,432nd place
8
0

Spanish Wikipedia (es)

PR-score:
75,753rd place
12,369
-7,325
AR-score:
119,382nd place
861
+1
F-score:
89,115th place
4
0

German Wikipedia (de)

PR-score:
102,690th place
8,404
-602
AR-score:
86,606th place
2,586
-246
F-score:
78,475th place
5
-2

Arabic Wikipedia (ar)

PR-score:
20,581st place
5,537
-1,536
AR-score:
23,115th place
1,772
+2
F-score:
29,336th place
6
0

French Wikipedia (fr)

PR-score:
116,005th place
4,311
-1,507
AR-score:
75,898th place
2,195
+31
F-score:
16,523rd place
34
0

Indonesian Wikipedia (id)

PR-score:
29,887th place
1,173
+539
AR-score:
62,379th place
90
+5
F-score:
11,406th place
9
+5
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...