fleet.sebastopol.ua

Multilingual Wikipedia

In June 2020 the website fleet.sebastopol.ua was on the 92,897th 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 41,417th place in June 2020. From Wikipedians' point of view, "fleet.sebastopol.ua" is the 65,224th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before raitio.org and after bizgyan.blogspot.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
92,897th place
212,860
+51,575
AR-score:
65,224th place
45,245
+181
F-score:
41,417th place
219
0

Ukrainian Wikipedia (uk)

PR-score:
1,027th place
123,204
+59,101
AR-score:
1,717th place
19,938
+126
F-score:
2,256th place
92
0

Russian Wikipedia (ru)

PR-score:
31,864th place
46,956
-10,580
AR-score:
11,904th place
14,595
+21
F-score:
9,049th place
69
0

English Wikipedia (en)

PR-score:
200,510th place
38,228
+2,162
AR-score:
125,901st place
8,707
+35
F-score:
80,653rd place
30
0

Japanese Wikipedia (ja)

PR-score:
106,264th place
3,522
+770
AR-score:
50,902nd place
1,518
0
F-score:
48,372nd place
6
0

Polish Wikipedia (pl)

PR-score:
105,706th place
476
-26
AR-score:
121,310th place
158
0
F-score:
64,804th place
3
0

Portuguese Wikipedia (pt)

PR-score:
153,833rd place
363
+159
AR-score:
146,601st place
136
0
F-score:
17,843rd place
15
0

Hungarian Wikipedia (hu)

PR-score:
71,425th place
50
-25
AR-score:
63,198th place
75
0
F-score:
71,853rd place
1
0

Arabic Wikipedia (ar)

PR-score:
152,766th place
40
0
AR-score:
145,441st place
80
0
F-score:
84,496th place
2
0

Belarusian (Taraškievica) Wikipedia (be-x-old)

PR-score:
9,914th place
17
+14
AR-score:
10,033rd place
35
0
F-score:
9,628th place
1
0

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...