tu-dresden.de

The TU Dresden is a public research university, the largest institute of higher education in the city of Dresden, the largest university in Saxony and one of the 10 largest universities in Germany with 32,389 students As of 2018. More information...

Multilingual Wikipedia

In June 2020 the website tu-dresden.de was on the 6,930th 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 7,086th place in June 2020. From Wikipedians' point of view, "tu-dresden.de" is the 5,150th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
6,930th place
4,493,671
-412,561
AR-score:
5,150th place
898,239
+638
F-score:
7,086th place
1,803
+14

German Wikipedia (de)

PR-score:
636th place
3,205,114
-171,519
AR-score:
472nd place
711,779
-175
F-score:
590th place
1,178
+4

English Wikipedia (en)

PR-score:
15,512th place
866,276
-154,046
AR-score:
16,654th place
94,255
+94
F-score:
15,773rd place
225
+2

Russian Wikipedia (ru)

PR-score:
19,270th place
86,825
-23,101
AR-score:
17,319th place
9,593
+9
F-score:
15,374th place
37
0

Japanese Wikipedia (ja)

PR-score:
16,562nd place
77,636
+4,460
AR-score:
22,106th place
4,460
0
F-score:
14,838th place
27
0

Spanish Wikipedia (es)

PR-score:
27,999th place
55,113
-1,061
AR-score:
19,777th place
9,914
+74
F-score:
14,690th place
31
0

French Wikipedia (fr)

PR-score:
40,917th place
21,218
-3,704
AR-score:
17,404th place
11,327
+42
F-score:
13,967th place
42
0

Polish Wikipedia (pl)

PR-score:
24,729th place
13,072
-4,739
AR-score:
9,710th place
7,857
0
F-score:
9,104th place
33
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...