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jogtar.hu

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Multilingual Wikipedia

In June 2020 the website jogtar.hu was on the 8,579th 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 12,255th place in June 2020. From Wikipedians' point of view, "jogtar.hu" is the 9,411th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
8,579th place
3,521,603
-2,607,974
AR-score:
9,411th place
454,670
+4,559
F-score:
12,255th place
959
+16

Hungarian Wikipedia (hu)

PR-score:
39th place
3,018,156
-2,557,603
AR-score:
73rd place
384,937
+3,177
F-score:
137th place
811
+5

English Wikipedia (en)

PR-score:
26,994th place
449,645
-53,300
AR-score:
25,716th place
56,491
-11
F-score:
38,422nd place
76
+1

German Wikipedia (de)

PR-score:
80,435th place
12,459
-1,181
AR-score:
144,337th place
1,301
-12
F-score:
110,101st place
4
0

Polish Wikipedia (pl)

PR-score:
31,126th place
9,154
+2,540
AR-score:
42,218th place
1,343
+298
F-score:
19,777th place
13
+7

Russian Wikipedia (ru)

PR-score:
105,367th place
6,946
-151
AR-score:
121,037th place
767
0
F-score:
98,029th place
3
0

French Wikipedia (fr)

PR-score:
114,721st place
4,405
-100
AR-score:
145,534th place
870
+3
F-score:
90,552nd place
5
0

Arabic Wikipedia (ar)

PR-score:
35,447th place
2,312
+916
AR-score:
84,747th place
263
+13
F-score:
40,274th place
4
0

Czech Wikipedia (cs)

PR-score:
32,934th place
1,675
+775
AR-score:
13,171st place
1,950
+100
F-score:
30,580th place
3
0

Vietnamese Wikipedia (vi)

PR-score:
31,521st place
1,123
-325
AR-score:
10,797th place
1,458
0
F-score:
32,559th place
3
0
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About the project

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...

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