trend.at

Trend is an Austrian weekly business magazine headquartered in Vienna. The magazine is one of the oldest publications in its category in the country. More information...

Multilingual Wikipedia

In June 2020 the website trend.at was on the 23,116th 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 41,416th place in June 2020. From Wikipedians' point of view, "trend.at" is the 38,374th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before gefter.ru and after lacuarta.cl in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
23,116th place
1,107,382
-143,000
AR-score:
38,374th place
85,325
+546
F-score:
41,416th place
219
0

German Wikipedia (de)

PR-score:
1,970th place
940,731
-120,964
AR-score:
3,832nd place
75,584
-57
F-score:
3,766th place
164
0

English Wikipedia (en)

PR-score:
94,023rd place
101,545
-16,597
AR-score:
178,510th place
5,772
+19
F-score:
87,356th place
27
-1

Japanese Wikipedia (ja)

PR-score:
20,455th place
59,485
-7,700
AR-score:
40,472nd place
2,097
0
F-score:
28,752nd place
12
0

Spanish Wikipedia (es)

PR-score:
147,935th place
2,850
+2,850
AR-score:
158,008th place
500
+500
F-score:
283,156th place
1
+1

Italian Wikipedia (it)

PR-score:
139,128th place
853
-211
AR-score:
244,884th place
28
0
F-score:
230,313th place
1
0

Swedish Wikipedia (sv)

PR-score:
58,469th place
260
-300
AR-score:
51,719th place
380
0
F-score:
64,241st place
1
0

Arabic Wikipedia (ar)

PR-score:
95,189th place
214
+64
AR-score:
172,398th place
49
0
F-score:
80,245th place
2
0

Danish Wikipedia (da)

PR-score:
41,365th place
89
+59
AR-score:
35,939th place
120
0
F-score:
14,246th place
3
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...