impots.gouv.fr

Multilingual Wikipedia

In June 2020 the website impots.gouv.fr was on the 15,746th 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 12,345th place in June 2020. From Wikipedians' point of view, "impots.gouv.fr" is the 14,261st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before smspower.org and after sanseido-publ.co.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
15,746th place
1,740,283
-19,968
AR-score:
14,261st place
277,582
-149
F-score:
12,345th place
952
+3

French Wikipedia (fr)

PR-score:
910th place
1,642,428
-8,920
AR-score:
1,093rd place
271,061
-192
F-score:
960th place
917
+3

Russian Wikipedia (ru)

PR-score:
29,916th place
50,917
-5,631
AR-score:
65,843rd place
1,935
+9
F-score:
98,324th place
3
0

English Wikipedia (en)

PR-score:
226,881st place
32,123
-3,941
AR-score:
331,283rd place
2,695
+25
F-score:
136,618th place
16
0

Chinese Wikipedia (zh)

PR-score:
60,918th place
5,305
-803
AR-score:
104,156th place
219
+6
F-score:
46,465th place
4
0

Italian Wikipedia (it)

PR-score:
83,374th place
3,208
+190
AR-score:
126,969th place
537
+1
F-score:
85,981st place
3
0

Portuguese Wikipedia (pt)

PR-score:
79,283rd place
2,971
-238
AR-score:
117,839th place
257
0
F-score:
75,438th place
2
0

Vietnamese Wikipedia (vi)

PR-score:
22,345th place
2,187
-483
AR-score:
31,227th place
329
0
F-score:
25,340th place
3
0

Spanish Wikipedia (es)

PR-score:
203,070th place
1,032
-132
AR-score:
154,263rd place
520
0
F-score:
98,523rd place
3
0

Bashkir Wikipedia (ba)

PR-score:
5,033rd place
108
-8
AR-score:
10,160th place
25
0
F-score:
10,580th 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...