mackinacbridge.org

Multilingual Wikipedia

In June 2020 the website mackinacbridge.org was on the 85,814th 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 103,029th place in June 2020. From Wikipedians' point of view, "mackinacbridge.org" is the 79,020th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before nova.rs and after welcomewildlife.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
85,814th place
234,301
-34,210
AR-score:
79,020th place
36,051
+108
F-score:
103,029th place
70
0

English Wikipedia (en)

PR-score:
50,068th place
217,252
-30,988
AR-score:
44,838th place
29,266
+35
F-score:
57,700th place
45
0

German Wikipedia (de)

PR-score:
117,719th place
6,578
-193
AR-score:
129,178th place
1,542
0
F-score:
122,291st place
3
0

Italian Wikipedia (it)

PR-score:
77,795th place
3,700
-400
AR-score:
112,133rd place
700
0
F-score:
212,869th place
1
0

Chinese Wikipedia (zh)

PR-score:
91,797th place
2,016
-967
AR-score:
87,975th place
316
0
F-score:
63,854th place
3
0

Portuguese Wikipedia (pt)

PR-score:
99,292nd place
1,700
-150
AR-score:
67,382nd place
800
+50
F-score:
53,353rd place
4
0

French Wikipedia (fr)

PR-score:
224,979th place
844
-198
AR-score:
213,677th place
414
+21
F-score:
118,196th place
3
0

Arabic Wikipedia (ar)

PR-score:
59,438th place
800
-200
AR-score:
34,379th place
1,100
0
F-score:
114,006th place
1
0

Simple English Wikipedia (simple)

PR-score:
15,993rd place
600
-266
AR-score:
11,024th place
900
0
F-score:
23,142nd place
1
0

Slovenian Wikipedia (sl)

PR-score:
15,800th place
133
+67
AR-score:
14,255th place
100
0
F-score:
5,079th place
4
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...