DTF is the Russian video game news website.

Multilingual Wikipedia

In June 2020 the website dtf.ru was on the 5,181st 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 14,497th place in June 2020. From Wikipedians' point of view, "dtf.ru" is the 14,139th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
5,181st place
6,193,811
-1,318,419
AR-score:
14,139th place
280,244
+1,165
F-score:
14,497th place
785
+16

Russian Wikipedia (ru)

PR-score:
366th place
5,771,304
-1,214,839
AR-score:
838th place
252,038
-1,750
F-score:
1,251st place
622
+7

English Wikipedia (en)

PR-score:
32,640th place
359,902
-84,201
AR-score:
114,013th place
9,804
+1,598
F-score:
78,609th place
31
+7

Ukrainian Wikipedia (uk)

PR-score:
3,848th place
29,912
-10,070
AR-score:
3,434th place
9,299
+1,348
F-score:
3,927th place
49
+2

German Wikipedia (de)

PR-score:
104,368th place
8,178
-2,585
AR-score:
288,362nd place
310
+3
F-score:
213,091st place
2
0

Japanese Wikipedia (ja)

PR-score:
86,408th place
5,755
-356
AR-score:
204,721st place
44
0
F-score:
125,700th place
2
0

French Wikipedia (fr)

PR-score:
119,021st place
4,108
-2,000
AR-score:
58,099th place
3,003
0
F-score:
84,340th place
5
0

Armenian Wikipedia (hy)

PR-score:
4,799th place
1,302
+259
AR-score:
15,636th place
286
+49
F-score:
3,618th place
19
+1

Belarusian Wikipedia (be)

PR-score:
2,982nd place
693
-978
AR-score:
2,525th place
1,002
0
F-score:
1,366th place
17
0

Catalan Wikipedia (ca)

PR-score:
65,574th place
100
-150
AR-score:
18,640th place
1,300
0
F-score:
76,649th place
1
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...