metropoleruhr.de

Regionalverband Ruhr is the association of some independent cities and rural districts in North Rhine-Westphalia, Germany.

Multilingual Wikipedia

In June 2020 the website metropoleruhr.de was on the 43,391st 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 72,358th place in June 2020. From Wikipedians' point of view, "metropoleruhr.de" is the 53,961st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before sbrain.co.jp and after goveg.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
43,391st place
524,375
-242,474
AR-score:
53,961st place
56,763
-1,338
F-score:
72,358th place
109
+2

German Wikipedia (de)

PR-score:
6,227th place
269,256
-44,673
AR-score:
6,924th place
39,092
-15
F-score:
7,138th place
78
+3

Spanish Wikipedia (es)

PR-score:
13,108th place
142,500
-114,500
AR-score:
29,788th place
6,100
0
F-score:
205,557th place
1
0

English Wikipedia (en)

PR-score:
118,717th place
75,890
-60,927
AR-score:
236,337th place
4,122
-1,358
F-score:
275,343rd place
7
-1

Serbo-Croatian Wikipedia (sh)

PR-score:
456th place
15,383
-13,200
AR-score:
1,182nd place
2,383
0
F-score:
3,314th place
8
0

Chinese Wikipedia (zh)

PR-score:
44,548th place
9,650
-1,566
AR-score:
66,787th place
533
0
F-score:
113,601st place
1
0

Simple English Wikipedia (simple)

PR-score:
3,498th place
6,850
-2,550
AR-score:
5,847th place
2,050
0
F-score:
25,160th place
1
0

Macedonian Wikipedia (mk)

PR-score:
4,712th place
648
-2,163
AR-score:
5,239th place
453
0
F-score:
11,722nd place
2
0

Sindhi Wikipedia (sd)

PR-score:
792nd place
300
-800
AR-score:
544th place
200
0
F-score:
876th place
2
0
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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...