bogestra.de

The Bochum-Gelsenkirchener Stra├čenbahnen AG, abbreviated BOGESTRA, is a public transport operator in the Ruhr area, most notably in the cities of Bochum, Gelsenkirchen and Herne. As of 2012, the company operated, in whole or in part, 9 rail lines, and 65 bus lines. In 2012, BOGESTRA transported a total of 144.9 million passengers. The company is a member of the Verkehrsverbund Rhein-Ruhr public transport association. More information...

Multilingual Wikipedia

In June 2020 the website bogestra.de was on the 166,874th 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 88,666th place in June 2020. From Wikipedians' point of view, "bogestra.de" is the 55,896th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before aapcc.org and after mundoazulgrana.com.ar in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
166,874th place
104,384
-14,503
AR-score:
55,896th place
54,398
+251
F-score:
88,666th place
85
0

German Wikipedia (de)

PR-score:
20,682nd place
71,416
-6,317
AR-score:
6,843rd place
39,646
+74
F-score:
13,820th place
36
0

English Wikipedia (en)

PR-score:
233,461st place
30,855
-8,153
AR-score:
90,923rd place
12,751
+77
F-score:
58,309th place
45
0

Italian Wikipedia (it)

PR-score:
107,633rd place
1,800
+600
AR-score:
70,842nd place
1,500
+100
F-score:
205,550th place
1
0

Hungarian Wikipedia (hu)

PR-score:
55,611th place
200
-300
AR-score:
45,797th place
200
0
F-score:
83,256th place
1
0

Persian Wikipedia (fa)

PR-score:
63,280th place
100
-300
AR-score:
40,775th place
300
0
F-score:
78,953rd place
1
0

Japanese Wikipedia (ja)

PR-score:
247,132nd place
13
-31
AR-score:
250,082nd place
0
0
F-score:
249,199th 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...