nevasport.ru

Multilingual Wikipedia

In June 2020 the website nevasport.ru was on the 51,500th 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 35,868th place in June 2020. From Wikipedians' point of view, "nevasport.ru" is the 32,656th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
51,500th place
429,274
-77,671
AR-score:
32,656th place
103,640
-726
F-score:
35,868th place
262
+4

Russian Wikipedia (ru)

PR-score:
6,139th place
317,527
-29,298
AR-score:
2,951st place
67,750
-3
F-score:
4,677th place
150
0

English Wikipedia (en)

PR-score:
111,682nd place
81,936
-36,086
AR-score:
80,731st place
14,638
+106
F-score:
75,096th place
33
+1

Spanish Wikipedia (es)

PR-score:
79,243rd place
11,382
-8,956
AR-score:
65,368th place
2,247
0
F-score:
78,391st place
4
0

Japanese Wikipedia (ja)

PR-score:
87,763rd place
5,563
-71
AR-score:
43,237th place
1,902
+3
F-score:
66,782nd place
4
0

Italian Wikipedia (it)

PR-score:
65,521st place
5,145
-1,577
AR-score:
26,506th place
5,019
-1,148
F-score:
48,621st place
5
0

German Wikipedia (de)

PR-score:
207,730th place
1,800
-500
AR-score:
68,487th place
3,400
0
F-score:
286,964th place
1
0

Ukrainian Wikipedia (uk)

PR-score:
59,781st place
416
-463
AR-score:
41,895th place
477
+48
F-score:
10,530th place
16
0

Hebrew Wikipedia (he)

PR-score:
33,600th place
300
+167
AR-score:
23,988th place
506
+154
F-score:
6,179th place
7
+3

Armenian Wikipedia (hy)

PR-score:
22,004th place
145
-5
AR-score:
10,511th place
468
+45
F-score:
10,017th place
6
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...