seaworld.org

Multilingual Wikipedia

In June 2020 the website seaworld.org was on the 12,896th 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 13,976th place in June 2020. From Wikipedians' point of view, "seaworld.org" is the 13,230th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before tuhs.org and after parlamentnilisty.cz in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
12,896th place
2,207,397
-637,038
AR-score:
13,230th place
302,952
+74
F-score:
13,976th place
819
+1

English Wikipedia (en)

PR-score:
10,507th place
1,364,377
-313,693
AR-score:
11,635th place
141,180
+41
F-score:
20,661st place
163
0

Russian Wikipedia (ru)

PR-score:
11,654th place
155,791
-27,440
AR-score:
20,164th place
8,047
+20
F-score:
20,203rd place
26
0

French Wikipedia (fr)

PR-score:
13,013th place
82,596
-22,329
AR-score:
13,328th place
15,341
+34
F-score:
21,202nd place
25
0

Spanish Wikipedia (es)

PR-score:
20,608th place
82,313
-16,706
AR-score:
24,752nd place
7,615
+7
F-score:
11,405th place
41
0

Portuguese Wikipedia (pt)

PR-score:
11,413th place
55,120
-10,477
AR-score:
12,281st place
7,040
0
F-score:
10,635th place
27
0

Czech Wikipedia (cs)

PR-score:
3,451st place
48,186
-16,911
AR-score:
5,877th place
4,701
-21
F-score:
3,836th place
29
0

Simple English Wikipedia (simple)

PR-score:
1,277th place
22,112
-4,111
AR-score:
603rd place
19,276
0
F-score:
1,621st place
26
0

Catalan Wikipedia (ca)

PR-score:
3,940th place
7,662
-7,522
AR-score:
7,537th place
3,420
0
F-score:
4,107th place
32
0

Asturian Wikipedia (ast)

PR-score:
4,472nd place
758
-129
AR-score:
15,275th place
176
+2
F-score:
1,922nd place
27
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...