constituteproject.org

Multilingual Wikipedia

In June 2020 the website constituteproject.org was on the 4,440th 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 8,363rd place in June 2020. From Wikipedians' point of view, "constituteproject.org" is the 5,696th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before nylon.com and after hfpa.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
4,440th place
7,371,814
+122,511
AR-score:
5,696th place
798,614
+5,968
F-score:
8,363rd place
1,496
+33

English Wikipedia (en)

PR-score:
2,811th place
6,193,351
+450,036
AR-score:
3,373rd place
580,078
+2,284
F-score:
6,599th place
633
+12

Vepsian Wikipedia (vep)

PR-score:
2nd place
246,491
-23,856
AR-score:
3rd place
39,201
+200
F-score:
4th place
127
0

French Wikipedia (fr)

PR-score:
8,692nd place
129,935
-33,487
AR-score:
9,048th place
23,853
+145
F-score:
7,427th place
89
+2

Portuguese Wikipedia (pt)

PR-score:
5,662nd place
121,624
-22,459
AR-score:
8,145th place
11,096
+21
F-score:
8,369th place
36
+1

Russian Wikipedia (ru)

PR-score:
18,934th place
88,702
-23,744
AR-score:
22,072nd place
7,253
+42
F-score:
13,851st place
41
0

German Wikipedia (de)

PR-score:
26,487th place
53,754
-6,171
AR-score:
13,575th place
18,778
+1
F-score:
11,833rd place
43
0

Arabic Wikipedia (ar)

PR-score:
3,844th place
49,562
-15,100
AR-score:
4,252nd place
12,676
+636
F-score:
3,332nd place
73
+1

Northern Sami Wikipedia (se)

PR-score:
10th place
24,045
-2,111
AR-score:
7th place
20,958
0
F-score:
16th place
26
0

Finnish Wikipedia (fi)

PR-score:
12,190th place
5,187
-24,215
AR-score:
9,213th place
3,766
+630
F-score:
3,310th place
50
+1
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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...