city.arakawa.tokyo.jp

Arakawa is a special ward located in Tokyo Metropolis, Japan. The ward takes its name from the river, the Arakawa, though the Arakawa River does not run through or touch the ward. Its neighbors are the wards of Adachi, Kita, Bunkyo, Taito and Sumida. In English, the ward calls itself Arakawa City. More information...

Multilingual Wikipedia

In June 2020 the website city.arakawa.tokyo.jp was on the 40,688th 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 49,256th place in June 2020. From Wikipedians' point of view, "city.arakawa.tokyo.jp" is the 39,246th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before gew.de and after kean.edu in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
40,688th place
565,319
-36,624
AR-score:
39,246th place
83,058
+1,193
F-score:
49,256th place
177
+7

Japanese Wikipedia (ja)

PR-score:
3,026th place
547,073
-34,715
AR-score:
1,966th place
72,184
+1,189
F-score:
3,507th place
139
+7

Chinese Wikipedia (zh)

PR-score:
42,342nd place
10,551
-3,020
AR-score:
12,623rd place
4,943
+4
F-score:
10,405th place
25
0

German Wikipedia (de)

PR-score:
117,515th place
6,600
+1,200
AR-score:
63,843rd place
3,679
0
F-score:
97,425th place
4
0

Simple English Wikipedia (simple)

PR-score:
20,947th place
350
0
AR-score:
15,975th place
500
0
F-score:
32,210th place
1
0

Finnish Wikipedia (fi)

PR-score:
60,140th place
272
-109
AR-score:
24,051st place
1,254
0
F-score:
19,987th place
6
0

Catalan Wikipedia (ca)

PR-score:
45,048th place
250
+50
AR-score:
46,167th place
400
0
F-score:
114,029th place
1
0

English Wikipedia (en)

PR-score:
1,319,239th place
221
-31
AR-score:
1,331,663rd place
95
0
F-score:
945,527th 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...