artinprint.org

Art in Print is an international bimonthly art magazine and website devoted to the history and culture of the printed image. Its founding motto, purloined from Leo Steinberg, is “without prints you don’t understand the culture of the world,” More information...

Multilingual Wikipedia

In June 2020 the website artinprint.org was on the 44,927th 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 97,364th place in June 2020. From Wikipedians' point of view, "artinprint.org" is the 48,985th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before educaplus.org and after 24-7pressrelease.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
44,927th place
503,003
-152,264
AR-score:
48,985th place
63,575
+377
F-score:
97,364th place
75
+1

English Wikipedia (en)

PR-score:
25,480th place
481,041
-162,965
AR-score:
24,687th place
59,347
-107
F-score:
49,870th place
54
0

Arabic Wikipedia (ar)

PR-score:
11,721st place
12,066
+10,533
AR-score:
23,333rd place
1,750
+467
F-score:
45,335th place
3
+1

Korean Wikipedia (ko)

PR-score:
14,438th place
3,717
-130
AR-score:
47,529th place
60
0
F-score:
13,108th place
4
0

German Wikipedia (de)

PR-score:
191,443rd place
2,250
+450
AR-score:
207,640th place
700
0
F-score:
405,175th place
1
0

Greek Wikipedia (el)

PR-score:
19,816th place
1,200
+700
AR-score:
28,439th place
200
+100
F-score:
29,146th place
2
0

Georgian Wikipedia (ka)

PR-score:
6,565th place
600
+50
AR-score:
4,414th place
550
0
F-score:
16,138th place
1
0

Esperanto Wikipedia (eo)

PR-score:
12,860th place
82
-70
AR-score:
7,531st place
429
0
F-score:
6,844th place
2
0
Show all Wikipedia languages...

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...