srce.hr

Multilingual Wikipedia

In June 2020 the website srce.hr was on the 2,016th 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 801st place in June 2020. From Wikipedians' point of view, "srce.hr" is the 1,199th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ti.com and after okstate.edu in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
2,016th place
17,970,885
-5,665,017
AR-score:
1,199th place
4,326,809
+43,662
F-score:
801st place
18,621
+156

English Wikipedia (en)

PR-score:
2,146th place
8,445,741
-1,563,584
AR-score:
1,390th place
1,496,634
+20,607
F-score:
1,079th place
4,483
+46

Croatian Wikipedia (hr)

PR-score:
4th place
5,916,373
-3,175,172
AR-score:
4th place
1,475,285
+16,795
F-score:
4th place
5,747
+62

Spanish Wikipedia (es)

PR-score:
5,342nd place
401,363
-94,816
AR-score:
3,182nd place
82,812
+658
F-score:
1,029th place
723
+9

German Wikipedia (de)

PR-score:
4,348th place
399,666
+30,262
AR-score:
2,461st place
126,672
+372
F-score:
3,991st place
151
+3

Polish Wikipedia (pl)

PR-score:
1,422nd place
392,396
+29,736
AR-score:
876th place
122,414
+218
F-score:
1,789th place
230
0

Serbian Wikipedia (sr)

PR-score:
110th place
336,999
-236,602
AR-score:
58th place
284,837
+210
F-score:
61st place
1,320
-2

Italian Wikipedia (it)

PR-score:
2,286th place
306,753
-91,035
AR-score:
1,172nd place
146,714
+3,659
F-score:
233rd place
1,793
0

Hungarian Wikipedia (hu)

PR-score:
439th place
271,758
-92,241
AR-score:
213th place
130,170
-3,177
F-score:
299th place
372
+1

Serbo-Croatian Wikipedia (sh)

PR-score:
34th place
212,214
-149,813
AR-score:
33rd place
88,750
+463
F-score:
26th place
1,331
+4
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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...