tv-digest.ru

Multilingual Wikipedia

In June 2020 the website tv-digest.ru was on the 56,104th 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 71,989th place in June 2020. From Wikipedians' point of view, "tv-digest.ru" is the 56,108th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before fiz-karlsruhe.de and after toacorn.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
56,104th place
387,745
-56,764
AR-score:
56,108th place
54,164
+28
F-score:
71,989th place
110
0

Russian Wikipedia (ru)

PR-score:
5,229th place
373,881
-55,276
AR-score:
4,069th place
48,834
-1
F-score:
7,743rd place
84
0

English Wikipedia (en)

PR-score:
410,496th place
12,398
-1,960
AR-score:
241,591st place
4,013
+20
F-score:
171,725th place
12
0

Ukrainian Wikipedia (uk)

PR-score:
48,352nd place
698
+344
AR-score:
43,883rd place
441
+5
F-score:
57,728th place
2
0

Turkmen Wikipedia (tk)

PR-score:
288th place
200
+15
AR-score:
408th place
28
0
F-score:
540th place
1
0

Spanish Wikipedia (es)

PR-score:
286,864th place
187
-11
AR-score:
229,568th place
193
+1
F-score:
104,536th place
3
0

German Wikipedia (de)

PR-score:
365,490th place
183
+83
AR-score:
311,104th place
245
0
F-score:
132,332nd place
3
0

French Wikipedia (fr)

PR-score:
370,737th place
62
+37
AR-score:
261,273rd place
250
0
F-score:
310,084th place
1
0

Armenian Wikipedia (hy)

PR-score:
35,188th place
58
-31
AR-score:
36,763rd place
70
+3
F-score:
23,551st place
2
0

Chechen Wikipedia (ce)

PR-score:
2,135th place
40
+20
AR-score:
1,858th place
40
0
F-score:
2,149th place
1
0

Hebrew Wikipedia (he)

PR-score:
55,938th place
34
+15
AR-score:
55,713th place
46
0
F-score:
49,497th 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...