massimotessitori.altervista.org

Multilingual Wikipedia

In June 2020 the website massimotessitori.altervista.org was on the 122,074th 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 170,847th place in June 2020. From Wikipedians' point of view, "massimotessitori.altervista.org" is the 151,378th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before otbsports.com and after rishonlezion.muni.il in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
122,074th place
153,387
-29,360
AR-score:
151,378th place
16,592
+15
F-score:
170,847th place
37
0

English Wikipedia (en)

PR-score:
71,288th place
142,450
-27,689
AR-score:
107,302nd place
10,523
+15
F-score:
96,596th place
24
0

Korean Wikipedia (ko)

PR-score:
8,373rd place
8,753
-847
AR-score:
3,646th place
5,161
0
F-score:
9,691st place
5
0

Italian Wikipedia (it)

PR-score:
133,122nd place
989
-916
AR-score:
148,485th place
368
0
F-score:
64,009th place
4
0

Chinese Wikipedia (zh)

PR-score:
125,875th place
716
-42
AR-score:
131,775th place
116
0
F-score:
174,307th place
1
0

Bosnian Wikipedia (bs)

PR-score:
8,206th place
300
+200
AR-score:
7,506th place
200
0
F-score:
7,357th place
2
0

Azerbaijani Wikipedia (az)

PR-score:
12,495th place
177
-67
AR-score:
10,146th place
222
0
F-score:
16,583rd place
1
0

Popularity and reliability assessment of sources in references of Wikipedia in different languages. Data extraction based on complex method using Wikimedia dumps in July 2020. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details in the research "Modeling Popularity and Reliability of Sources in Multilingual Wikipedia". Values for PR-score and AR-score were additinaly increased 100 times (to distinguish smaller values in the ranking).