titanicinquiry.org

Multilingual Wikipedia

In June 2020 the website titanicinquiry.org was on the 11,300th 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 11,345th place in June 2020. From Wikipedians' point of view, "titanicinquiry.org" is the 14,610th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before sba.gov and after broadcom.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
11,300th place
2,571,110
-1,121,833
AR-score:
14,610th place
269,453
+786
F-score:
11,345th place
1,049
+9

English Wikipedia (en)

PR-score:
8,864th place
1,673,047
-796,055
AR-score:
12,240th place
132,676
+146
F-score:
13,233rd place
278
+4

Spanish Wikipedia (es)

PR-score:
12,726th place
147,546
-52,042
AR-score:
11,939th place
17,748
+90
F-score:
6,583rd place
80
0

Portuguese Wikipedia (pt)

PR-score:
5,415th place
127,896
-47,586
AR-score:
10,711th place
8,212
+5
F-score:
2,509th place
158
0

Russian Wikipedia (ru)

PR-score:
18,468th place
91,211
-49,860
AR-score:
31,544th place
4,847
0
F-score:
21,798th place
24
0

Czech Wikipedia (cs)

PR-score:
2,438th place
70,321
-20,444
AR-score:
3,067th place
9,153
+47
F-score:
2,132nd place
58
0

French Wikipedia (fr)

PR-score:
18,049th place
57,093
-21,281
AR-score:
16,678th place
11,866
+23
F-score:
11,069th place
55
0

Chinese Wikipedia (zh)

PR-score:
15,587th place
45,495
-3,074
AR-score:
19,290th place
3,009
+4
F-score:
3,004th place
114
0

Swedish Wikipedia (sv)

PR-score:
3,192nd place
34,602
-9,381
AR-score:
3,514th place
12,531
+51
F-score:
3,715th place
31
0

Danish Wikipedia (da)

PR-score:
1,326th place
33,515
-9,186
AR-score:
1,295th place
11,256
0
F-score:
3,790th place
11
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...