jutarnji.hr

Jutarnji list is a Croatian daily newspaper, founded and continuously published in Zagreb since 6 April 1998, by EPH which eventually changed name in Hanza Media, when bought by Marijan Hanžeković. The newspaper is published in the berliner format and online. Its online edition jutarnji.hr is the second most visited news website in Croatia after Index.hr. More information...

Multilingual Wikipedia

In June 2020 the website jutarnji.hr was on the 2,554th 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 1,627th place in June 2020. From Wikipedians' point of view, "jutarnji.hr" is the 1,688th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
2,554th place
13,724,978
-3,007,036
AR-score:
1,688th place
3,039,694
+20,491
F-score:
1,627th place
9,483
+89

English Wikipedia (en)

PR-score:
2,357th place
7,514,779
-855,708
AR-score:
1,645th place
1,263,905
+9,125
F-score:
1,761st place
2,717
+31

Croatian Wikipedia (hr)

PR-score:
7th place
3,837,145
-1,581,304
AR-score:
10th place
971,566
+3,297
F-score:
16th place
2,461
+15

Russian Wikipedia (ru)

PR-score:
4,618th place
426,733
-61,775
AR-score:
3,399th place
59,443
+608
F-score:
2,686th place
279
+8

Serbian Wikipedia (sr)

PR-score:
115th place
327,260
-172,044
AR-score:
144th place
104,856
+881
F-score:
193rd place
398
+2

Serbo-Croatian Wikipedia (sh)

PR-score:
25th place
291,789
-135,310
AR-score:
31st place
91,852
+320
F-score:
27th place
1,066
+3

Dutch Wikipedia (nl)

PR-score:
1,085th place
234,844
-32,279
AR-score:
399th place
164,815
+1,098
F-score:
411th place
286
0
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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...