narod.hr

Multilingual Wikipedia

In June 2020 the website narod.hr was on the 18,311th 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 11,772nd place in June 2020. From Wikipedians' point of view, "narod.hr" is the 14,554th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
18,311th place
1,458,613
-409,470
AR-score:
14,554th place
270,459
+4,962
F-score:
11,772nd place
1,004
+20

Croatian Wikipedia (hr)

PR-score:
29th place
1,273,918
-410,754
AR-score:
33rd place
243,004
+4,793
F-score:
48th place
840
+16

English Wikipedia (en)

PR-score:
68,871st place
148,203
+8,804
AR-score:
66,817th place
18,263
+109
F-score:
44,894th place
62
0

German Wikipedia (de)

PR-score:
60,103rd place
19,037
+5,035
AR-score:
65,809th place
3,554
-17
F-score:
42,359th place
10
0

Russian Wikipedia (ru)

PR-score:
134,177th place
3,946
-7,689
AR-score:
166,638th place
400
+1
F-score:
78,223rd place
5
0

Serbian Wikipedia (sr)

PR-score:
8,154th place
3,207
-3,902
AR-score:
13,412th place
750
+5
F-score:
5,912th place
10
0

Serbo-Croatian Wikipedia (sh)

PR-score:
2,155th place
2,904
+1,742
AR-score:
5,309th place
492
+164
F-score:
2,428th place
11
+2

French Wikipedia (fr)

PR-score:
156,965th place
2,289
-1,031
AR-score:
135,792nd place
976
0
F-score:
82,900th place
5
0

Spanish Wikipedia (es)

PR-score:
185,772nd place
1,417
+576
AR-score:
200,493rd place
283
+22
F-score:
21,130th place
20
0

Ukrainian Wikipedia (uk)

PR-score:
41,344th place
973
+369
AR-score:
27,364th place
887
+8
F-score:
12,326th place
13
+1
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...