navsource.org

NavSource Naval History is the naval history database and website.

Multilingual Wikipedia

In June 2020 the website navsource.org was on the 3,460th 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 1,656th place in June 2020. From Wikipedians' point of view, "navsource.org" is the 2,287th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before so-net.ne.jp and after laprovence.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
3,460th place
9,826,362
-2,376,145
AR-score:
2,287th place
2,209,671
+8,941
F-score:
1,656th place
9,284
+134

English Wikipedia (en)

PR-score:
2,343rd place
7,579,416
-1,748,584
AR-score:
1,414th place
1,476,774
+4,563
F-score:
1,005th place
4,810
+125

Japanese Wikipedia (ja)

PR-score:
3,199th place
515,705
-67,352
AR-score:
3,935th place
32,741
+60
F-score:
2,146th place
249
-1

German Wikipedia (de)

PR-score:
4,172nd place
422,485
-157,752
AR-score:
3,379th place
86,924
+462
F-score:
3,073rd place
210
0

Spanish Wikipedia (es)

PR-score:
5,543rd place
384,138
-182,269
AR-score:
4,720th place
52,135
+1,415
F-score:
4,279th place
137
+7

French Wikipedia (fr)

PR-score:
6,421st place
182,406
-32,889
AR-score:
4,589th place
53,320
+1,719
F-score:
2,072nd place
406
+7

Czech Wikipedia (cs)

PR-score:
1,049th place
170,688
-58,788
AR-score:
478th place
72,022
+419
F-score:
217th place
731
0

Portuguese Wikipedia (pt)

PR-score:
4,863rd place
143,355
-12,157
AR-score:
479th place
265,164
+30
F-score:
383rd place
1,285
0

Russian Wikipedia (ru)

PR-score:
14,185th place
124,734
-47,263
AR-score:
10,193rd place
17,408
+238
F-score:
1,225th place
634
+1
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...