ipsterraviva.net

Multilingual Wikipedia

In June 2020 the website ipsterraviva.net was on the 123,227th 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 191,919th place in June 2020. From Wikipedians' point of view, "ipsterraviva.net" is the 127,452nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before toppr.com and after jewreview.net in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
123,227th place
151,682
-31,518
AR-score:
127,452nd place
20,351
-129
F-score:
191,919th place
32
0

English Wikipedia (en)

PR-score:
83,274th place
118,088
-31,559
AR-score:
81,791st place
14,416
+38
F-score:
203,484th place
10
0

Japanese Wikipedia (ja)

PR-score:
78,426th place
7,122
+4,339
AR-score:
98,309th place
494
0
F-score:
136,332nd place
1
0

Indonesian Wikipedia (id)

PR-score:
11,860th place
5,757
-2,857
AR-score:
19,408th place
742
0
F-score:
50,909th place
1
0

Spanish Wikipedia (es)

PR-score:
112,379th place
5,626
+91
AR-score:
84,276th place
1,538
-20
F-score:
56,676th place
6
0

Chinese Wikipedia (zh)

PR-score:
61,647th place
5,184
-1,242
AR-score:
89,313th place
302
-134
F-score:
102,698th place
1
0

Thai Wikipedia (th)

PR-score:
10,152nd place
3,485
+900
AR-score:
8,192nd place
1,071
0
F-score:
23,649th place
1
0

Bulgarian Wikipedia (bg)

PR-score:
18,059th place
935
-490
AR-score:
31,119th place
141
0
F-score:
26,998th place
1
0

Bengali Wikipedia (bn)

PR-score:
16,841st place
175
+50
AR-score:
8,121st place
475
0
F-score:
23,373rd place
1
0

Esperanto Wikipedia (eo)

PR-score:
17,820th place
35
0
AR-score:
19,558th place
71
0
F-score:
3,235th place
5
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...