elporvenir.com.mx

El Porvenir is the oldest newspaper published in Monterrey, Nuevo León, Mexico. The newspaper was founded in January 1919 by don Jesús Cantú Leal and Ricardo Arenales. The newspaper's CEO is José Gerardo Cantú Escalante. More information...

Multilingual Wikipedia

In June 2020 the website elporvenir.com.mx was on the 17,045th 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 21,696th place in June 2020. From Wikipedians' point of view, "elporvenir.com.mx" is the 11,136th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before rueduconservatoire.fr and after delcotimes.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
17,045th place
1,581,747
-545,854
AR-score:
11,136th place
371,940
+1,748
F-score:
21,696th place
482
-1

Spanish Wikipedia (es)

PR-score:
2,349th place
998,168
-456,311
AR-score:
1,323rd place
229,408
+1,924
F-score:
3,118th place
198
0

English Wikipedia (en)

PR-score:
24,011th place
518,183
-76,348
AR-score:
13,860th place
116,076
+570
F-score:
21,358th place
157
0

Portuguese Wikipedia (pt)

PR-score:
19,836th place
27,661
-3,511
AR-score:
8,806th place
10,165
-761
F-score:
10,704th place
27
-1

French Wikipedia (fr)

PR-score:
67,372nd place
10,741
-3,651
AR-score:
34,827th place
5,309
0
F-score:
34,504th place
14
0

Japanese Wikipedia (ja)

PR-score:
69,171st place
9,158
-799
AR-score:
66,516th place
1,006
0
F-score:
106,760th place
2
0

Catalan Wikipedia (ca)

PR-score:
18,472nd place
1,140
-1,041
AR-score:
11,952nd place
2,106
+5
F-score:
10,468th place
11
0

Asturian Wikipedia (ast)

PR-score:
7,974th place
343
-99
AR-score:
3,306th place
989
0
F-score:
2,742nd place
18
0
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...