sheep101.info

Multilingual Wikipedia

In June 2020 the website sheep101.info was on the 42,121st 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 42,288th place in June 2020. From Wikipedians' point of view, "sheep101.info" is the 42,142nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before aiib.org and after slovarozhegova.ru in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
42,121st place
542,340
-208,596
AR-score:
42,142nd place
76,067
+71
F-score:
42,288th place
213
-1

English Wikipedia (en)

PR-score:
33,022nd place
355,320
-47,238
AR-score:
29,500th place
48,020
-21
F-score:
27,267th place
116
-1

Hungarian Wikipedia (hu)

PR-score:
1,247th place
94,500
-124,300
AR-score:
2,178th place
11,600
0
F-score:
43,533rd place
1
0

Russian Wikipedia (ru)

PR-score:
65,652nd place
16,615
-4,270
AR-score:
78,543rd place
1,517
+2
F-score:
64,727th place
6
0

Persian Wikipedia (fa)

PR-score:
6,332nd place
15,033
-1,733
AR-score:
17,388th place
1,133
+33
F-score:
20,329th place
3
0

Spanish Wikipedia (es)

PR-score:
74,897th place
12,620
-4,223
AR-score:
130,154th place
734
+5
F-score:
62,943rd place
5
0

French Wikipedia (fr)

PR-score:
75,043rd place
9,102
-2,347
AR-score:
97,359th place
1,592
+1
F-score:
24,538th place
21
0

Finnish Wikipedia (fi)

PR-score:
11,010th place
5,927
-7,591
AR-score:
13,910th place
2,409
+19
F-score:
41,781st place
2
0

Arabic Wikipedia (ar)

PR-score:
26,637th place
3,755
-1,412
AR-score:
27,282nd place
1,462
0
F-score:
21,470th place
8
0

Vietnamese Wikipedia (vi)

PR-score:
51,126th place
327
-392
AR-score:
29,984th place
351
0
F-score:
10,585th place
10
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...