boem.gov

The Bureau of Ocean Energy Management is an agency within the United States Department of the Interior, established in 2010 by Secretarial Order. More information...

Multilingual Wikipedia

In June 2020 the website boem.gov was on the 49,431st 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 42,056th place in June 2020. From Wikipedians' point of view, "boem.gov" is the 62,027th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before anaheim.net and after livenews.com.au in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
49,431st place
450,701
-71,221
AR-score:
62,027th place
48,012
+78
F-score:
42,056th place
215
+1

English Wikipedia (en)

PR-score:
30,657th place
388,555
-67,567
AR-score:
32,654th place
42,649
-17
F-score:
20,962nd place
161
0

French Wikipedia (fr)

PR-score:
37,536th place
23,665
+5,870
AR-score:
83,780th place
1,936
0
F-score:
109,974th place
4
0

Russian Wikipedia (ru)

PR-score:
66,991st place
16,100
+272
AR-score:
133,336th place
642
+28
F-score:
198,663rd place
1
0

Chinese Wikipedia (zh)

PR-score:
46,484th place
8,962
+2,508
AR-score:
115,134th place
170
+8
F-score:
67,189th place
3
0

Spanish Wikipedia (es)

PR-score:
111,209th place
5,757
-1,702
AR-score:
151,531st place
542
+3
F-score:
61,798th place
6
0

Ukrainian Wikipedia (uk)

PR-score:
56,102nd place
492
-353
AR-score:
42,290th place
467
+14
F-score:
15,704th place
10
0

German Wikipedia (de)

PR-score:
333,683rd place
312
+12
AR-score:
340,077th place
175
0
F-score:
49,585th place
9
0

Serbian Wikipedia (sr)

PR-score:
59,256th place
14
-11
AR-score:
53,776th place
28
0
F-score:
9,570th place
6
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...