gn-online.de

Grafschafter Nachrichten is the periodical literature.

Multilingual Wikipedia

In June 2020 the website gn-online.de was on the 44,197th 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 32,535th place in June 2020. From Wikipedians' point of view, "gn-online.de" is the 28,053rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before energia.it and after dfnc.ru in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
44,197th place
513,616
+5,713
AR-score:
28,053rd place
124,283
-478
F-score:
32,535th place
295
-1

German Wikipedia (de)

PR-score:
3,784th place
470,179
+10,511
AR-score:
2,812th place
107,864
-544
F-score:
2,533rd place
262
-2

Dutch Wikipedia (nl)

PR-score:
9,131st place
20,259
-2,725
AR-score:
6,580th place
7,343
+45
F-score:
8,595th place
8
0

English Wikipedia (en)

PR-score:
325,350th place
18,540
-2,328
AR-score:
217,653rd place
4,553
0
F-score:
154,090th place
13
0

Polish Wikipedia (pl)

PR-score:
56,412th place
2,900
+500
AR-score:
18,083rd place
3,900
0
F-score:
82,244th place
2
0

French Wikipedia (fr)

PR-score:
234,112th place
738
-85
AR-score:
257,797th place
261
+20
F-score:
129,651st place
3
+1

Spanish Wikipedia (es)

PR-score:
244,757th place
464
-169
AR-score:
222,272nd place
208
+2
F-score:
138,229th place
2
0

Portuguese Wikipedia (pt)

PR-score:
162,701st place
275
0
AR-score:
197,464th place
33
0
F-score:
106,677th place
2
0

Russian Wikipedia (ru)

PR-score:
298,205th place
158
-66
AR-score:
302,304th place
43
0
F-score:
157,445th place
2
0

Low Saxon Wikipedia (nds)

PR-score:
2,766th place
100
+75
AR-score:
2,907th place
75
0
F-score:
4,223rd 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...