serralves.pt

Serralves is a cultural institution located in Porto, Portugal, and one of the most important institutions worldwide, raking in the top 100 most visited museums in the world. It includes a Contemporary Art Museum, a Park and a Villa, each one an example of contemporary architecture, Modernism, and Art Deco architecture. The Museum, designed by Álvaro Siza Vieira, is now the second most visited museum in Portugal and one of the most relevant in the contemporary art circuit in Europe. More information...

Multilingual Wikipedia

In June 2020 the website serralves.pt was on the 164,440th 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 57,792nd place in June 2020. From Wikipedians' point of view, "serralves.pt" is the 106,912th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before food-pronet.jp and after smadent.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
164,440th place
106,344
+9,080
AR-score:
106,912th place
25,042
+4,741
F-score:
57,792nd place
145
+5

Portuguese Wikipedia (pt)

PR-score:
12,892nd place
47,601
-1,821
AR-score:
13,464th place
6,313
+20
F-score:
6,757th place
48
0

English Wikipedia (en)

PR-score:
263,861st place
25,749
-7,556
AR-score:
172,462nd place
6,009
+57
F-score:
70,046th place
36
+1

Spanish Wikipedia (es)

PR-score:
60,545th place
18,055
+17,624
AR-score:
36,389th place
4,799
+4,657
F-score:
40,648th place
9
+4

German Wikipedia (de)

PR-score:
77,114th place
13,279
+2,088
AR-score:
49,328th place
4,867
0
F-score:
41,998th place
10
0

French Wikipedia (fr)

PR-score:
196,032nd place
1,288
-678
AR-score:
76,515th place
2,169
+2
F-score:
16,737th place
34
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...