jornaldaparaiba.com.br

Jornal da Paraíba is the newspaper in Brazil.

Multilingual Wikipedia

In June 2020 the website jornaldaparaiba.com.br was on the 47,390th 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 35,184th place in June 2020. From Wikipedians' point of view, "jornaldaparaiba.com.br" is the 56,446th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before kanalukraina.tv and after psych.or.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
47,390th place
472,872
+41,960
AR-score:
56,446th place
53,801
+1,549
F-score:
35,184th place
268
+12

Portuguese Wikipedia (pt)

PR-score:
1,698th place
438,346
+32,519
AR-score:
2,145th place
49,228
+673
F-score:
1,903rd place
218
+10

English Wikipedia (en)

PR-score:
326,585th place
18,431
+12,321
AR-score:
365,595th place
2,364
+866
F-score:
129,864th place
17
+2

Spanish Wikipedia (es)

PR-score:
65,565th place
15,850
-2,832
AR-score:
75,520th place
1,811
+11
F-score:
17,789th place
24
0

Italian Wikipedia (it)

PR-score:
231,893rd place
54
-18
AR-score:
231,636th place
54
0
F-score:
240,904th place
1
0

Catalan Wikipedia (ca)

PR-score:
82,097th place
53
-19
AR-score:
126,077th place
13
0
F-score:
52,299th place
2
0

Polish Wikipedia (pl)

PR-score:
158,275th place
50
0
AR-score:
156,305th place
50
0
F-score:
166,159th place
1
0

French Wikipedia (fr)

PR-score:
384,401st place
40
-28
AR-score:
332,716th place
106
0
F-score:
200,057th place
2
0

Ukrainian Wikipedia (uk)

PR-score:
124,030th place
30
+15
AR-score:
139,234th place
15
0
F-score:
67,364th place
2
0

Dutch Wikipedia (nl)

PR-score:
79,509th place
14
0
AR-score:
57,978th place
157
0
F-score:
78,287th place
1
0

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...