villanova.edu

Multilingual Wikipedia

In June 2020 the website villanova.edu was on the 9,290th 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 12,844th place in June 2020. From Wikipedians' point of view, "villanova.edu" is the 11,449th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before popsugar.co.uk and after thepointersisters.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
9,290th place
3,212,647
+105,216
AR-score:
11,449th place
360,882
+2,421
F-score:
12,844th place
908
-4

English Wikipedia (en)

PR-score:
6,033rd place
2,589,357
+373,420
AR-score:
6,397th place
283,723
+2,284
F-score:
6,537th place
642
-6

Russian Wikipedia (ru)

PR-score:
8,539th place
220,836
-152,414
AR-score:
22,599th place
7,070
0
F-score:
39,211th place
12
0

Spanish Wikipedia (es)

PR-score:
12,783rd place
146,936
-67,939
AR-score:
25,166th place
7,473
-79
F-score:
14,324th place
32
+1

Turkish Wikipedia (tr)

PR-score:
1,240th place
114,314
-21,137
AR-score:
2,714th place
12,174
+11
F-score:
7,406th place
11
0

Japanese Wikipedia (ja)

PR-score:
35,745th place
27,777
+986
AR-score:
45,864th place
1,762
+12
F-score:
52,838th place
6
0

French Wikipedia (fr)

PR-score:
49,891st place
16,410
-2,693
AR-score:
18,471st place
10,612
+51
F-score:
17,197th place
33
0

German Wikipedia (de)

PR-score:
93,135th place
9,911
-6,781
AR-score:
80,604th place
2,815
0
F-score:
38,535th place
12
0

Danish Wikipedia (da)

PR-score:
4,835th place
7,800
-6,500
AR-score:
1,518th place
9,800
0
F-score:
29,575th place
1
0

Arabic Wikipedia (ar)

PR-score:
44,550th place
1,501
-475
AR-score:
22,194th place
1,861
0
F-score:
11,897th place
17
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...