inail.it

The Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro or INAIL is an Italian statutory corporation overseen by the Ministry of Labour and Social Policies. Its headquarters is in the INAIL Tower in the EUR, Rome. More information...

Multilingual Wikipedia

In June 2020 the website inail.it was on the 56,638th 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 100,769th place in June 2020. From Wikipedians' point of view, "inail.it" is the 68,231st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before santacruz.gob.bo and after ericgiguere.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
56,638th place
383,785
-119,138
AR-score:
68,231st place
42,949
+143
F-score:
100,769th place
72
0

Italian Wikipedia (it)

PR-score:
1,920th place
363,058
-111,162
AR-score:
3,818th place
42,080
+143
F-score:
7,493rd place
47
0

English Wikipedia (en)

PR-score:
326,098th place
18,476
-7,110
AR-score:
905,446th place
469
0
F-score:
170,287th place
12
0

French Wikipedia (fr)

PR-score:
206,294th place
1,108
-146
AR-score:
279,419th place
204
0
F-score:
66,688th place
7
0

Spanish Wikipedia (es)

PR-score:
233,743rd place
577
-236
AR-score:
342,908th place
15
0
F-score:
224,637th place
1
0

Japanese Wikipedia (ja)

PR-score:
179,836th place
533
-433
AR-score:
149,738th place
166
0
F-score:
125,773rd place
2
0

Slovak Wikipedia (sk)

PR-score:
26,986th place
21
-38
AR-score:
29,325th place
6
+1
F-score:
24,807th place
1
0

Arabic Wikipedia (ar)

PR-score:
202,323rd place
6
-5
AR-score:
203,352nd place
5
0
F-score:
98,401st place
1
0

Asturian Wikipedia (ast)

PR-score:
50,782nd place
3
-6
AR-score:
54,186th place
1
0
F-score:
51,678th 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...