europesworld.org

Multilingual Wikipedia

In June 2020 the website europesworld.org was on the 84,569th 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 132,125th place in June 2020. From Wikipedians' point of view, "europesworld.org" is the 110,529th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before theatre-odeon.eu and after sante-et-travail.fr in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
84,569th place
238,424
-47,494
AR-score:
110,529th place
24,088
-587
F-score:
132,125th place
51
-1

English Wikipedia (en)

PR-score:
62,395th place
166,911
-18,080
AR-score:
72,227th place
16,642
-6
F-score:
145,481st place
14
0

Chinese Wikipedia (zh)

PR-score:
25,656th place
23,411
-4,372
AR-score:
44,372nd place
1,016
+3
F-score:
99,245th place
1
0

French Wikipedia (fr)

PR-score:
57,537th place
13,508
-2,329
AR-score:
91,990th place
1,709
+6
F-score:
63,339th place
7
0

Arabic Wikipedia (ar)

PR-score:
13,181st place
10,274
+1,063
AR-score:
30,236th place
1,290
+6
F-score:
56,772nd place
2
0

Italian Wikipedia (it)

PR-score:
59,104th place
6,165
-2,345
AR-score:
136,470th place
455
0
F-score:
156,150th place
1
0

Japanese Wikipedia (ja)

PR-score:
87,271st place
5,629
-651
AR-score:
98,849th place
486
+8
F-score:
66,434th place
4
0

Serbian Wikipedia (sr)

PR-score:
18,120th place
900
0
AR-score:
11,704th place
900
0
F-score:
16,496th place
3
0

Bengali Wikipedia (bn)

PR-score:
26,624th place
55
-7
AR-score:
33,825th place
34
+7
F-score:
12,294th place
3
0

Serbo-Croatian Wikipedia (sh)

PR-score:
23,162nd place
42
-600
AR-score:
10,864th place
171
0
F-score:
8,625th place
3
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...