tijd.be

De Tijd is a Belgian newspaper that mainly focuses on business and economics. It is printed on salmon pink paper since May 2009, following the example of its colleagues Financial Times, Het Financieele Dagblad, FT Deutschland and many more. More information...

Multilingual Wikipedia

In June 2020 the website tijd.be was on the 8,038th 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 7,989th place in June 2020. From Wikipedians' point of view, "tijd.be" is the 7,718th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before diffuser.fm and after journaldugeek.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
8,038th place
3,779,962
-517,744
AR-score:
7,718th place
566,907
+11,637
F-score:
7,989th place
1,580
+46

Dutch Wikipedia (nl)

PR-score:
94th place
3,000,295
-351,938
AR-score:
153rd place
450,009
+10,695
F-score:
114th place
1,101
+44

English Wikipedia (en)

PR-score:
21,406th place
595,048
-163,161
AR-score:
19,145th place
80,328
+930
F-score:
11,999th place
314
+6

French Wikipedia (fr)

PR-score:
12,839th place
83,927
+24,009
AR-score:
16,534th place
11,982
-214
F-score:
12,475th place
48
-1

German Wikipedia (de)

PR-score:
23,047th place
63,353
-7,990
AR-score:
27,433rd place
8,964
+7
F-score:
18,486th place
26
0

Russian Wikipedia (ru)

PR-score:
51,634th place
24,091
-10,542
AR-score:
48,440th place
2,891
+6
F-score:
70,521st place
5
0

Italian Wikipedia (it)

PR-score:
79,076th place
3,577
-1
AR-score:
55,887th place
2,081
+111
F-score:
30,905th place
9
0

Spanish Wikipedia (es)

PR-score:
151,048th place
2,693
-1,023
AR-score:
46,430th place
3,549
+1
F-score:
45,221st place
8
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...