eluniversalveracruz.com.mx

Multilingual Wikipedia

In June 2020 the website eluniversalveracruz.com.mx was on the 86,015th 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 93,863rd place in June 2020. From Wikipedians' point of view, "eluniversalveracruz.com.mx" is the 95,866th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
86,015th place
233,572
-28,762
AR-score:
95,866th place
28,544
+426
F-score:
93,863rd place
79
0

Spanish Wikipedia (es)

PR-score:
10,808th place
178,557
-29,793
AR-score:
9,922nd place
22,059
+449
F-score:
15,197th place
29
0

English Wikipedia (en)

PR-score:
181,371st place
43,851
+4,255
AR-score:
317,232nd place
2,847
-45
F-score:
107,471st place
21
0

Italian Wikipedia (it)

PR-score:
60,848th place
5,860
-2,538
AR-score:
116,533rd place
649
+15
F-score:
41,619th place
6
0

Japanese Wikipedia (ja)

PR-score:
137,804th place
1,615
-192
AR-score:
223,969th place
23
0
F-score:
212,634th place
1
0

Portuguese Wikipedia (pt)

PR-score:
104,871st place
1,462
-13
AR-score:
105,740th place
333
0
F-score:
80,093rd place
2
0

Russian Wikipedia (ru)

PR-score:
211,361st place
966
-120
AR-score:
141,585th place
573
0
F-score:
105,910th place
3
0

Asturian Wikipedia (ast)

PR-score:
9,713th place
260
-48
AR-score:
24,068th place
86
0
F-score:
12,477th place
3
0

French Wikipedia (fr)

PR-score:
313,607th place
210
-245
AR-score:
381,955th place
45
+5
F-score:
109,316th place
4
0

Swedish Wikipedia (sv)

PR-score:
70,482nd place
111
-30
AR-score:
30,062nd place
1,029
0
F-score:
34,046th place
2
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...