artsy.net

Artsy is an online platform for discovering, buying and selling fine art. Artsy's search engine and database draw connections and map relationships among works of art. Founded by Carter Cleveland, computer science graduate from Princeton, and is led by Mike Steib, former CEO of XO Group, the parent company of The Knot. Artsy aims to "expand the art market to support more artists and art in the world." More information...

Multilingual Wikipedia

In June 2020 the website artsy.net was on the 8,750th 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 5,682nd place in June 2020. From Wikipedians' point of view, "artsy.net" is the 10,663rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before 9-11commission.gov and after rba.gov.au in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
8,750th place
3,451,491
-368,605
AR-score:
10,663rd place
391,542
+9,121
F-score:
5,682nd place
2,311
+52

English Wikipedia (en)

PR-score:
5,711th place
2,779,685
-142,946
AR-score:
6,659th place
269,331
+9,990
F-score:
3,254th place
1,399
+31

German Wikipedia (de)

PR-score:
6,265th place
267,399
-39,191
AR-score:
6,554th place
41,543
-2,004
F-score:
6,168th place
92
+3

Spanish Wikipedia (es)

PR-score:
16,748th place
106,895
-48,412
AR-score:
19,119th place
10,329
-358
F-score:
6,470th place
82
-2

French Wikipedia (fr)

PR-score:
14,342nd place
74,064
-34,471
AR-score:
9,768th place
21,873
+357
F-score:
3,603rd place
213
+14

Japanese Wikipedia (ja)

PR-score:
25,469th place
44,596
+9,072
AR-score:
19,071st place
5,330
+6
F-score:
32,506th place
10
0

Italian Wikipedia (it)

PR-score:
19,320th place
29,271
-7,866
AR-score:
16,814th place
8,293
+471
F-score:
7,054th place
50
+1
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...