city.tondabayashi.osaka.jp

Multilingual Wikipedia

In June 2020 the website city.tondabayashi.osaka.jp was on the 240,338th 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 345,799th place in June 2020. From Wikipedians' point of view, "city.tondabayashi.osaka.jp" is the 175,582nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before gesundheitlicheaufklaerung.de and after etienne.net in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
240,338th place
65,455
-12,608
AR-score:
175,582nd place
13,934
+1
F-score:
345,799th place
15
0

Japanese Wikipedia (ja)

PR-score:
19,625th place
62,738
-11,997
AR-score:
9,901st place
11,319
+2
F-score:
32,328th place
10
0

French Wikipedia (fr)

PR-score:
165,933rd place
2,000
-300
AR-score:
101,691st place
1,500
0
F-score:
313,867th place
1
0

Russian Wikipedia (ru)

PR-score:
272,024th place
300
-400
AR-score:
103,559th place
1,000
0
F-score:
233,551st place
1
0

Catalan Wikipedia (ca)

PR-score:
42,982nd place
275
+175
AR-score:
109,218th place
50
0
F-score:
129,542nd place
1
0

English Wikipedia (en)

PR-score:
1,393,816th place
121
-26
AR-score:
1,424,854th place
45
0
F-score:
1,161,745th place
1
0

Armenian Wikipedia (hy)

PR-score:
53,709th place
20
-60
AR-score:
57,858th place
20
0
F-score:
62,778th 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).