agenziaentrate.gov.it

Multilingual Wikipedia

In June 2020 the website agenziaentrate.gov.it was on the 8,594th 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 52,947th place in June 2020. From Wikipedians' point of view, "agenziaentrate.gov.it" is the 22,904th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before morningstar.com and after president.ee in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
8,594th place
3,514,556
+341,718
AR-score:
22,904th place
157,521
+18,375
F-score:
52,947th place
162
+5

Italian Wikipedia (it)

PR-score:
254th place
2,836,177
+374,412
AR-score:
1,262nd place
135,757
+15,384
F-score:
3,249th place
126
+3

English Wikipedia (en)

PR-score:
24,555th place
503,480
+7,561
AR-score:
92,370th place
12,531
+330
F-score:
105,255th place
22
0

Russian Wikipedia (ru)

PR-score:
12,619th place
142,722
-25,690
AR-score:
70,859th place
1,757
0
F-score:
174,273rd place
2
0

Spanish Wikipedia (es)

PR-score:
70,269th place
14,097
-14,326
AR-score:
148,957th place
560
0
F-score:
116,645th place
3
0

Japanese Wikipedia (ja)

PR-score:
70,594th place
8,800
-300
AR-score:
35,310th place
2,500
0
F-score:
136,711th place
1
0

German Wikipedia (de)

PR-score:
110,979th place
7,339
-1,817
AR-score:
122,350th place
1,665
+5
F-score:
230,247th place
1
0

French Wikipedia (fr)

PR-score:
169,299th place
1,900
+1,900
AR-score:
64,531st place
2,657
+2,657
F-score:
163,640th place
2
+2

Vietnamese Wikipedia (vi)

PR-score:
94,239th place
19
-7
AR-score:
61,298th place
85
0
F-score:
24,971st place
4
0

Bashkir Wikipedia (ba)

PR-score:
11,610th place
19
-15
AR-score:
14,062nd place
7
0
F-score:
10,201st 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...