lawphil.net

Multilingual Wikipedia

In June 2020 the website lawphil.net was on the 5,819th 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 7,656th place in June 2020. From Wikipedians' point of view, "lawphil.net" is the 6,692nd most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
5,819th place
5,460,549
-113,387
AR-score:
6,692nd place
665,718
+21,970
F-score:
7,656th place
1,650
+61

English Wikipedia (en)

PR-score:
3,265th place
5,232,903
-88,130
AR-score:
3,317th place
591,175
+19,026
F-score:
4,173rd place
1,066
+51

Russian Wikipedia (ru)

PR-score:
40,587th place
34,033
+30,129
AR-score:
73,742nd place
1,664
+881
F-score:
45,850th place
9
+1

Tagalog Wikipedia (tl)

PR-score:
80th place
30,044
-7,718
AR-score:
91st place
16,783
+770
F-score:
124th place
104
+3

Spanish Wikipedia (es)

PR-score:
47,859th place
26,024
-5,265
AR-score:
24,228th place
7,808
+43
F-score:
12,141st place
38
0

French Wikipedia (fr)

PR-score:
39,051st place
22,496
-8,597
AR-score:
76,118th place
2,184
+26
F-score:
43,291st place
11
0

German Wikipedia (de)

PR-score:
63,404th place
17,660
+3,090
AR-score:
28,021st place
8,765
+10
F-score:
23,277th place
20
0

Dutch Wikipedia (nl)

PR-score:
14,109th place
10,355
-820
AR-score:
9,015th place
5,115
+1
F-score:
6,443rd place
11
0

Arabic Wikipedia (ar)

PR-score:
31,354th place
2,855
-505
AR-score:
20,169th place
2,083
+9
F-score:
3,405th place
72
0

Ilokano Wikipedia (ilo)

PR-score:
765th place
715
+93
AR-score:
709th place
394
0
F-score:
42nd place
77
0
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...