ukrstat.org

Multilingual Wikipedia

In June 2020 the website ukrstat.org was on the 55,507th 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 26,457th place in June 2020. From Wikipedians' point of view, "ukrstat.org" is the 18,566th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before adventure-journal.com and after powercell.se in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
55,507th place
392,454
-285,791
AR-score:
18,566th place
200,961
-15,669
F-score:
26,457th place
378
-10

Russian Wikipedia (ru)

PR-score:
8,289th place
228,540
-92,581
AR-score:
7,259th place
25,844
+302
F-score:
13,116th place
44
+1

English Wikipedia (en)

PR-score:
247,500th place
28,351
-13,617
AR-score:
389,214th place
2,171
+2
F-score:
450,809th place
3
0

Ukrainian Wikipedia (uk)

PR-score:
4,723rd place
23,764
-81,740
AR-score:
11,862nd place
2,449
-16,045
F-score:
11,261st place
14
-11

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

PR-score:
55th place
22,113
-10,320
AR-score:
16th place
132,200
0
F-score:
52nd place
195
0

Italian Wikipedia (it)

PR-score:
29,113th place
17,462
-2,387
AR-score:
33,058th place
3,912
0
F-score:
68,563rd place
3
0

Latvian Wikipedia (lv)

PR-score:
1,832nd place
3,800
-100
AR-score:
1,083rd place
4,200
0
F-score:
10,692nd place
1
0

Romanian Wikipedia (ro)

PR-score:
9,744th place
3,711
-996
AR-score:
1,047th place
11,971
+50
F-score:
2,149th place
34
0

Belarusian Wikipedia (be)

PR-score:
1,123rd place
2,191
+200
AR-score:
359th place
7,250
0
F-score:
1,407th place
16
0

Armenian Wikipedia (hy)

PR-score:
13,059th place
332
-323
AR-score:
6,396th place
802
0
F-score:
3,576th place
19
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...