tuttitalia.it

Multilingual Wikipedia

In June 2020 the website tuttitalia.it was on the 5,581st 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 2,310th place in June 2020. From Wikipedians' point of view, "tuttitalia.it" is the 2,121st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before trend.az and after japan-baseball.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
5,581st place
5,713,626
-1,506,262
AR-score:
2,121st place
2,399,241
+1,612
F-score:
2,310th place
6,502
+6

Italian Wikipedia (it)

PR-score:
216th place
3,271,383
-948,012
AR-score:
161st place
1,093,656
-8,409
F-score:
455th place
992
-14

English Wikipedia (en)

PR-score:
13,809th place
996,675
-152,306
AR-score:
7,400th place
239,404
+2,626
F-score:
15,636th place
227
+7

Russian Wikipedia (ru)

PR-score:
5,150th place
379,218
-154,524
AR-score:
5,022nd place
38,727
+57
F-score:
15,383rd place
36
+1

Spanish Wikipedia (es)

PR-score:
9,004th place
220,263
-1,161
AR-score:
5,208th place
46,725
+389
F-score:
10,530th place
45
0

French Wikipedia (fr)

PR-score:
5,673rd place
209,131
-42,604
AR-score:
3,773rd place
67,088
+2,765
F-score:
10,447th place
59
+5

Finnish Wikipedia (fi)

PR-score:
1,091st place
85,944
-20,711
AR-score:
392nd place
124,861
+92
F-score:
203rd place
1,014
0

Swedish Wikipedia (sv)

PR-score:
1,853rd place
62,828
-12,282
AR-score:
385th place
161,312
+431
F-score:
159th place
1,388
0

Latin Wikipedia (la)

PR-score:
23rd place
57,302
-6,397
AR-score:
14th place
152,098
-3,099
F-score:
11th place
461
0

Indonesian Wikipedia (id)

PR-score:
4,638th place
20,246
-8,163
AR-score:
771st place
23,498
+67
F-score:
132nd place
1,079
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...