vermont-archives.org

Multilingual Wikipedia

In June 2020 the website vermont-archives.org was on the 83,095th 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 42,681st place in June 2020. From Wikipedians' point of view, "vermont-archives.org" is the 70,493rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before buddyhollyonline.com and after skyhorsepublishing.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
83,095th place
243,667
+26,216
AR-score:
70,493rd place
41,376
-639
F-score:
42,681st place
211
0

English Wikipedia (en)

PR-score:
49,384th place
220,842
+27,856
AR-score:
37,177th place
36,518
-650
F-score:
19,347th place
176
0

Italian Wikipedia (it)

PR-score:
27,148th place
19,115
-1,049
AR-score:
145,379th place
393
+11
F-score:
101,757th place
2
0

Persian Wikipedia (fa)

PR-score:
26,497th place
1,633
-389
AR-score:
22,047th place
811
0
F-score:
36,977th place
1
0

Armenian Wikipedia (hy)

PR-score:
9,738th place
500
-71
AR-score:
7,270th place
700
0
F-score:
33,598th place
1
0

Chinese Wikipedia (zh)

PR-score:
139,709th place
450
-100
AR-score:
125,739th place
133
0
F-score:
83,647th place
2
0

German Wikipedia (de)

PR-score:
321,024th place
382
-72
AR-score:
135,282nd place
1,445
0
F-score:
72,670th place
6
0

Portuguese Wikipedia (pt)

PR-score:
156,647th place
333
+200
AR-score:
90,674th place
466
0
F-score:
18,895th place
14
0

Hungarian Wikipedia (hu)

PR-score:
58,848th place
150
0
AR-score:
37,654th place
300
0
F-score:
32,730th place
2
0

Arabic Wikipedia (ar)

PR-score:
134,214th place
66
0
AR-score:
95,158th place
200
0
F-score:
76,531st place
2
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...