computernostalgia.net

Multilingual Wikipedia

In June 2020 the website computernostalgia.net was on the 43,283rd 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 382,374th place in June 2020. From Wikipedians' point of view, "computernostalgia.net" is the 56,636th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
43,283rd place
525,948
-52,202
AR-score:
56,636th place
53,595
+140
F-score:
382,374th place
13
0

Spanish Wikipedia (es)

PR-score:
7,808th place
260,233
-54,667
AR-score:
6,325th place
36,900
+67
F-score:
172,787th place
1
0

English Wikipedia (en)

PR-score:
44,170th place
252,209
+9,307
AR-score:
91,666th place
12,639
+40
F-score:
371,557th place
4
0

Korean Wikipedia (ko)

PR-score:
11,640th place
5,350
-1,400
AR-score:
11,288th place
1,300
0
F-score:
35,295th place
1
0

Hungarian Wikipedia (hu)

PR-score:
14,132nd place
4,759
-4,963
AR-score:
19,563rd place
940
0
F-score:
39,198th place
1
0

Italian Wikipedia (it)

PR-score:
106,159th place
1,860
-723
AR-score:
74,885th place
1,383
0
F-score:
86,772nd place
2
0

Asturian Wikipedia (ast)

PR-score:
6,124th place
500
+25
AR-score:
17,192nd place
150
0
F-score:
36,767th place
1
0

Japanese Wikipedia (ja)

PR-score:
183,594th place
478
+47
AR-score:
246,088th place
5
0
F-score:
248,064th place
1
0

Arabic Wikipedia (ar)

PR-score:
77,849th place
400
+200
AR-score:
116,261st place
133
+33
F-score:
177,275th place
1
0

Greek Wikipedia (el)

PR-score:
43,009th place
157
-28
AR-score:
32,671st place
142
0
F-score:
38,977th 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...