openstates.org

Open States is the website in United States of America founded in 2009.

Multilingual Wikipedia

In June 2020 the website openstates.org was on the 40,107th 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 54,927th place in June 2020. From Wikipedians' point of view, "openstates.org" is the 54,373rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before ajog.org and after cnet-sc.ne.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
40,107th place
574,808
-6,775
AR-score:
54,373rd place
56,243
+630
F-score:
54,927th place
154
+5

English Wikipedia (en)

PR-score:
22,217th place
567,882
-3,369
AR-score:
26,379th place
54,826
+632
F-score:
23,315th place
141
+5

German Wikipedia (de)

PR-score:
158,074th place
3,591
-4,926
AR-score:
208,948th place
686
-3
F-score:
236,629th place
1
0

Chinese Wikipedia (zh)

PR-score:
85,361st place
2,462
+1,871
AR-score:
151,795th place
70
0
F-score:
153,687th place
1
0

Italian Wikipedia (it)

PR-score:
155,421st place
582
-65
AR-score:
216,787th place
88
0
F-score:
226,478th place
1
0

Arabic Wikipedia (ar)

PR-score:
104,141st place
162
0
AR-score:
66,290th place
417
0
F-score:
40,721st place
4
0

Russian Wikipedia (ru)

PR-score:
320,920th place
70
-38
AR-score:
333,286th place
10
0
F-score:
322,743rd place
1
0

Simple English Wikipedia (simple)

PR-score:
42,439th place
33
-200
AR-score:
36,812th place
66
0
F-score:
39,264th place
1
0

Czech Wikipedia (cs)

PR-score:
94,006th place
12
-46
AR-score:
81,459th place
54
0
F-score:
42,343rd place
2
0

Hebrew Wikipedia (he)

PR-score:
61,938th place
10
-3
AR-score:
60,432nd place
23
+2
F-score:
22,353rd place
2
0

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...