artdink.co.jp

A-Train is a series of train simulation video games that were originally developed and published by Japanese game developer Artdink in Japan. The first game in the series was published in 1985. The first release in the United States was Take the A-Train II, published in 1988 by the Seika Corporation under the title Railroad Empire. However, the most well known U.S. release is Take the A-Train III, published in 1992 by Maxis as simply A-Train. More information...

Multilingual Wikipedia

In June 2020 the website artdink.co.jp was on the 125,237th 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 161,891st place in June 2020. From Wikipedians' point of view, "artdink.co.jp" is the 137,092nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before priceactionlab.com and after sevastopol.gov.ru in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
125,237th place
148,774
-63,606
AR-score:
137,092nd place
18,652
-271
F-score:
161,891st place
40
0

Japanese Wikipedia (ja)

PR-score:
13,352nd place
101,464
-52,867
AR-score:
9,486th place
11,913
-371
F-score:
26,235th place
13
0

English Wikipedia (en)

PR-score:
234,694th place
30,626
-6,997
AR-score:
200,635th place
5,026
+100
F-score:
466,225th place
3
0

Chinese Wikipedia (zh)

PR-score:
32,791st place
16,209
-3,171
AR-score:
37,397th place
1,306
0
F-score:
13,252nd place
19
0

Italian Wikipedia (it)

PR-score:
196,915th place
200
-280
AR-score:
192,064th place
160
0
F-score:
120,335th place
2
0

German Wikipedia (de)

PR-score:
368,319th place
174
+10
AR-score:
397,463rd place
70
0
F-score:
333,865th place
1
0

Russian Wikipedia (ru)

PR-score:
311,700th place
100
-300
AR-score:
226,035th place
175
0
F-score:
149,228th place
2
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).