documentarchiv.de

Multilingual Wikipedia

In June 2020 the website documentarchiv.de was on the 4,061st 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 10,767th place in June 2020. From Wikipedians' point of view, "documentarchiv.de" is the 5,789th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
4,061st place
8,158,008
-2,215,057
AR-score:
5,789th place
784,357
+1,050
F-score:
10,767th place
1,119
+2

German Wikipedia (de)

PR-score:
571st place
3,571,460
-999,392
AR-score:
757th place
449,242
+238
F-score:
1,555th place
451
+2

English Wikipedia (en)

PR-score:
6,675th place
2,302,491
-94,351
AR-score:
17,051st place
91,683
+375
F-score:
38,811th place
75
0

Russian Wikipedia (ru)

PR-score:
2,453rd place
827,306
-532,408
AR-score:
3,972nd place
49,968
-318
F-score:
7,976th place
81
-1

Polish Wikipedia (pl)

PR-score:
1,716th place
323,647
-123,187
AR-score:
2,237th place
41,497
+122
F-score:
5,206th place
63
0

Spanish Wikipedia (es)

PR-score:
7,338th place
279,045
-94,379
AR-score:
14,428th place
14,256
+69
F-score:
13,545th place
34
+1

French Wikipedia (fr)

PR-score:
6,826th place
169,995
-87,755
AR-score:
9,878th place
21,581
-135
F-score:
8,130th place
80
-1
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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).