redalyc.org

The Redalyc project is a bibliographic database and a digital library of Open Access journals, supported by the Universidad Autónoma del Estado de México with the help of numerous other higher education institutions and information systems. More information...

Multilingual Wikipedia

In June 2020 the website redalyc.org was on the 1,673rd 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 2,943rd place in June 2020. From Wikipedians' point of view, "redalyc.org" is the 2,408th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before texasmonthly.com and after google.com.uy in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
1,673rd place
21,793,540
-4,185,959
AR-score:
2,408th place
2,087,448
+25,161
F-score:
2,943rd place
4,822
+86

Spanish Wikipedia (es)

PR-score:
126th place
17,885,732
-4,507,139
AR-score:
282nd place
1,079,828
+23,950
F-score:
460th place
1,608
+39

English Wikipedia (en)

PR-score:
5,283rd place
3,031,204
+488,961
AR-score:
2,434th place
818,168
-1,366
F-score:
2,355th place
1,996
+23

Portuguese Wikipedia (pt)

PR-score:
1,486th place
507,593
-22,071
AR-score:
1,688th place
65,053
+1,199
F-score:
1,621st place
268
+20

Catalan Wikipedia (ca)

PR-score:
381st place
89,253
-57,119
AR-score:
634th place
48,731
+408
F-score:
505th place
320
+1

German Wikipedia (de)

PR-score:
26,961st place
52,660
-6,956
AR-score:
24,447th place
10,104
+15
F-score:
7,958th place
68
0

Asturian Wikipedia (ast)

PR-score:
500th place
8,578
+2,357
AR-score:
680th place
5,347
+60
F-score:
478th place
116
0

Dutch Wikipedia (nl)

PR-score:
18,121st place
6,682
-149
AR-score:
4,215th place
11,865
0
F-score:
1,647th place
55
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...