sephardicstudies.org

Multilingual Wikipedia

In June 2020 the website sephardicstudies.org was on the 46,390th 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 45,528th place in June 2020. From Wikipedians' point of view, "sephardicstudies.org" is the 37,329th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before pilerats.com and after kashmirlife.net in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
46,390th place
484,666
-91,582
AR-score:
37,329th place
88,279
+131
F-score:
45,528th place
195
0

English Wikipedia (en)

PR-score:
41,729th place
269,644
-49,192
AR-score:
36,279th place
37,609
+26
F-score:
47,202nd place
58
0

Russian Wikipedia (ru)

PR-score:
33,495th place
44,002
-7,925
AR-score:
28,269th place
5,490
0
F-score:
71,863rd place
5
0

Turkish Wikipedia (tr)

PR-score:
3,812th place
35,242
+70
AR-score:
4,247th place
7,577
+113
F-score:
7,526th place
10
0

Portuguese Wikipedia (pt)

PR-score:
21,752nd place
24,560
-8,785
AR-score:
17,715th place
4,628
+3
F-score:
25,729th place
9
0

Chinese Wikipedia (zh)

PR-score:
28,087th place
20,536
-2,394
AR-score:
37,158th place
1,320
+2
F-score:
53,066th place
3
0

French Wikipedia (fr)

PR-score:
60,956th place
12,440
-7,428
AR-score:
84,446th place
1,914
+10
F-score:
39,379th place
12
0

Persian Wikipedia (fa)

PR-score:
12,849th place
5,775
-1,025
AR-score:
6,162nd place
3,966
+8
F-score:
27,007th place
2
0

Spanish Wikipedia (es)

PR-score:
126,217th place
4,315
-2,305
AR-score:
100,359th place
1,160
+2
F-score:
34,860th place
11
0

Finnish Wikipedia (fi)

PR-score:
18,027th place
3,024
-2,928
AR-score:
24,462nd place
1,223
0
F-score:
13,598th place
9
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...