infed.org

Multilingual Wikipedia

In June 2020 the website infed.org was on the 14,132nd 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 21,794th place in June 2020. From Wikipedians' point of view, "infed.org" is the 20,268th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before bunkatsushin.com and after sofiaecho.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
14,132nd place
1,980,887
-154,691
AR-score:
20,268th place
181,767
-3,644
F-score:
21,794th place
479
+3

English Wikipedia (en)

PR-score:
10,660th place
1,343,663
-29,045
AR-score:
13,108th place
123,260
-4,133
F-score:
17,193rd place
203
-2

Spanish Wikipedia (es)

PR-score:
11,558th place
165,563
-21,157
AR-score:
30,171st place
6,002
+44
F-score:
29,876th place
13
0

Russian Wikipedia (ru)

PR-score:
19,260th place
86,884
-64,568
AR-score:
26,841st place
5,824
+70
F-score:
37,177th place
12
+4

Portuguese Wikipedia (pt)

PR-score:
10,216th place
62,988
-1,812
AR-score:
27,700th place
2,737
+8
F-score:
25,982nd place
9
0

Chinese Wikipedia (zh)

PR-score:
12,434th place
60,645
+5,135
AR-score:
23,944th place
2,329
0
F-score:
22,005th place
10
0

Arabic Wikipedia (ar)

PR-score:
3,341st place
58,421
-12,054
AR-score:
9,388th place
5,042
+11
F-score:
6,672nd place
33
0

French Wikipedia (fr)

PR-score:
20,548th place
48,990
-3,949
AR-score:
28,210th place
6,696
+150
F-score:
24,574th place
21
+1

German Wikipedia (de)

PR-score:
93,027th place
9,934
+1,704
AR-score:
39,297th place
6,176
0
F-score:
51,984th place
8
0

Esperanto Wikipedia (eo)

PR-score:
3,557th place
467
-104
AR-score:
5,726th place
627
0
F-score:
1,198th place
13
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...