americanapparel.net

Multilingual Wikipedia

In June 2020 the website americanapparel.net was on the 94,311th 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 88,416th place in June 2020. From Wikipedians' point of view, "americanapparel.net" is the 82,530th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before jinjer-metal.com and after znadwiliiwilno.lt in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
94,311th place
209,080
-35,445
AR-score:
82,530th place
34,200
-6
F-score:
88,416th place
85
-1

English Wikipedia (en)

PR-score:
58,847th place
178,877
-29,003
AR-score:
47,082nd place
27,546
-14
F-score:
56,484th place
47
-1

Spanish Wikipedia (es)

PR-score:
88,930th place
9,160
-1,735
AR-score:
115,834th place
902
+2
F-score:
116,139th place
3
0

German Wikipedia (de)

PR-score:
127,680th place
5,616
-467
AR-score:
121,428th place
1,683
0
F-score:
145,052nd place
3
0

Russian Wikipedia (ru)

PR-score:
126,413th place
4,577
-545
AR-score:
122,990th place
750
0
F-score:
122,747th place
3
0

Japanese Wikipedia (ja)

PR-score:
109,807th place
3,229
-194
AR-score:
98,143rd place
498
+6
F-score:
73,751st place
4
0

French Wikipedia (fr)

PR-score:
146,675th place
2,674
-3,514
AR-score:
141,807th place
904
0
F-score:
207,652nd place
2
0

Chinese Wikipedia (zh)

PR-score:
127,267th place
688
-160
AR-score:
84,857th place
342
0
F-score:
51,795th place
4
0

Italian Wikipedia (it)

PR-score:
157,428th place
554
-55
AR-score:
189,421st place
168
0
F-score:
54,392nd place
5
0

Lithuanian Wikipedia (lt)

PR-score:
9,891st place
400
+200
AR-score:
12,340th place
200
0
F-score:
4,046th 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...