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Multilingual Wikipedia

In June 2020 the website iom.edu was on the 18,331st 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 21,137th place in June 2020. From Wikipedians' point of view, "iom.edu" is the 19,809th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
18,331st place
1,456,816
-616,963
AR-score:
19,809th place
186,793
-325
F-score:
21,137th place
498
0

English Wikipedia (en)

PR-score:
16,736th place
793,768
-228,256
AR-score:
14,037th place
114,459
+336
F-score:
16,418th place
214
0

Lithuanian Wikipedia (lt)

PR-score:
84th place
159,825
-243,187
AR-score:
469th place
11,687
+103
F-score:
4,197th place
3
0

Chinese Wikipedia (zh)

PR-score:
6,232nd place
139,615
-15,418
AR-score:
9,105th place
7,165
-21
F-score:
7,135th place
39
0

Japanese Wikipedia (ja)

PR-score:
18,604th place
67,124
+6,548
AR-score:
27,668th place
3,408
0
F-score:
46,968th place
6
0

Portuguese Wikipedia (pt)

PR-score:
11,077th place
57,160
-12,381
AR-score:
20,301st place
3,950
+6
F-score:
18,166th place
14
0

French Wikipedia (fr)

PR-score:
59,556th place
12,881
-5,886
AR-score:
72,447th place
2,317
+1
F-score:
42,206th place
11
0

Simple English Wikipedia (simple)

PR-score:
2,967th place
8,360
-5,250
AR-score:
2,667th place
4,725
0
F-score:
5,790th place
6
0

Arabic Wikipedia (ar)

PR-score:
17,722nd place
6,897
-700
AR-score:
22,684th place
1,804
+11
F-score:
10,486th place
19
0

Bosnian Wikipedia (bs)

PR-score:
2,561st place
2,319
-5,932
AR-score:
633rd place
4,943
0
F-score:
2,954th place
4
0
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About the project

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...

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