ntu.edu.sg

The Nanyang Technological University, Singapore is the second oldest public autonomous research university in Singapore. More information...

Multilingual Wikipedia

In June 2020 the website ntu.edu.sg was on the 11,291st 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 13,856th place in June 2020. From Wikipedians' point of view, "ntu.edu.sg" is the 14,561st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before factsanddetails.com and after bbcshop.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
11,291st place
2,574,077
+33,538
AR-score:
14,561st place
270,380
+977
F-score:
13,856th place
828
+1

English Wikipedia (en)

PR-score:
8,128th place
1,852,242
+29,250
AR-score:
8,832nd place
194,138
+1,271
F-score:
7,642nd place
537
-2

Chinese Wikipedia (zh)

PR-score:
3,637th place
263,595
+31,137
AR-score:
6,548th place
10,428
+351
F-score:
6,526th place
45
+1

Japanese Wikipedia (ja)

PR-score:
11,430th place
121,820
+5,380
AR-score:
12,832nd place
8,452
+67
F-score:
22,040th place
17
0

Spanish Wikipedia (es)

PR-score:
18,143rd place
96,341
-22,769
AR-score:
23,892nd place
7,942
-29
F-score:
47,522nd place
8
0

French Wikipedia (fr)

PR-score:
18,165th place
56,622
+3,922
AR-score:
57,817th place
3,024
-7
F-score:
45,006th place
11
0

Russian Wikipedia (ru)

PR-score:
37,183rd place
38,348
-11,023
AR-score:
21,556th place
7,444
0
F-score:
36,705th place
13
0

Arabic Wikipedia (ar)

PR-score:
12,946th place
10,533
-7,979
AR-score:
11,731st place
3,934
+33
F-score:
9,990th place
21
0

German Wikipedia (de)

PR-score:
90,808th place
10,317
+4,031
AR-score:
61,435th place
3,839
0
F-score:
26,348th place
18
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...