ecfr.gov

Electronic Code of Federal Regulations is the digital version of the United States Code of Federal Regulations.

Multilingual Wikipedia

In June 2020 the website ecfr.gov was on the 3,892nd 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 11,465th place in June 2020. From Wikipedians' point of view, "ecfr.gov" is the 7,944th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before vilaweb.cat and after wrestlingdata.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
3,892nd place
8,540,642
-1,207,322
AR-score:
7,944th place
549,101
+10,813
F-score:
11,465th place
1,037
+7

English Wikipedia (en)

PR-score:
2,312th place
7,679,226
-1,060,754
AR-score:
3,864th place
497,407
+5,504
F-score:
6,209th place
682
+4

German Wikipedia (de)

PR-score:
5,962nd place
282,796
-64,707
AR-score:
15,291st place
16,515
-1,020
F-score:
17,588th place
27
0

Spanish Wikipedia (es)

PR-score:
11,686th place
163,733
-32,877
AR-score:
62,135th place
2,410
+23
F-score:
14,881st place
30
+1

Russian Wikipedia (ru)

PR-score:
14,680th place
119,684
-32,714
AR-score:
35,406th place
4,224
+19
F-score:
29,352nd place
16
0

Japanese Wikipedia (ja)

PR-score:
17,371st place
73,255
-3,384
AR-score:
58,321st place
1,244
+11
F-score:
8,844th place
48
+1

Portuguese Wikipedia (pt)

PR-score:
13,330th place
45,607
+15,737
AR-score:
12,601st place
6,843
+6,103
F-score:
7,484th place
42
+1

French Wikipedia (fr)

PR-score:
25,073rd place
38,892
-4,890
AR-score:
49,134th place
3,636
-33
F-score:
45,302nd place
10
-1

Turkish Wikipedia (tr)

PR-score:
9,903rd place
10,685
-1,347
AR-score:
19,941st place
1,110
0
F-score:
2,571st place
36
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...