islamtoday.net

Multilingual Wikipedia

In June 2020 the website islamtoday.net was on the 46,323rd 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 38,542nd place in June 2020. From Wikipedians' point of view, "islamtoday.net" is the 38,307th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before raiffeisen.ru and after pref.niigata.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
46,323rd place
485,401
-66,757
AR-score:
38,307th place
85,527
+1,027
F-score:
38,542nd place
239
+3

Arabic Wikipedia (ar)

PR-score:
942nd place
233,178
+28,867
AR-score:
1,509th place
41,101
+1,205
F-score:
2,241st place
118
+2

English Wikipedia (en)

PR-score:
54,283rd place
197,054
-50,113
AR-score:
43,790th place
30,127
+48
F-score:
54,665th place
49
0

French Wikipedia (fr)

PR-score:
56,518th place
13,859
-6,520
AR-score:
56,060th place
3,135
+10
F-score:
110,803rd place
4
0

Chinese Wikipedia (zh)

PR-score:
49,806th place
7,881
-1,400
AR-score:
64,263rd place
573
0
F-score:
66,795th place
3
0

Russian Wikipedia (ru)

PR-score:
113,314th place
5,928
-4,079
AR-score:
135,489th place
622
+15
F-score:
54,992nd place
7
+1

Serbian Wikipedia (sr)

PR-score:
6,494th place
4,313
-17,590
AR-score:
7,619th place
1,533
0
F-score:
20,510th place
2
0

Indonesian Wikipedia (id)

PR-score:
14,395th place
4,292
-3,440
AR-score:
19,921st place
712
0
F-score:
17,075th place
6
0

Egyptian Arabic Wikipedia (arz)

PR-score:
972nd place
1,000
-600
AR-score:
372nd place
1,900
0
F-score:
2,167th place
1
0

Bengali Wikipedia (bn)

PR-score:
7,860th place
685
-378
AR-score:
13,280th place
237
+35
F-score:
4,679th place
8
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...