metalstorm.net

Metal Storm is a webzine specializing in various forms of heavy metal music. It is based in Tallinn, Estonia but caters to an international audience, symbolically recognized by the acquisition of an EU domain in 2008. As of June 2013, the website hosts 7,812 band profiles, 7,800 reviews, 553 interviews and 16,753 news items. More information...

Multilingual Wikipedia

In June 2020 the website metalstorm.net was on the 3,364th 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 2,398th place in June 2020. From Wikipedians' point of view, "metalstorm.net" is the 2,443rd most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
3,364th place
10,111,951
-1,833,420
AR-score:
2,443rd place
2,054,340
+10,069
F-score:
2,398th place
6,198
+39

English Wikipedia (en)

PR-score:
2,501st place
7,049,385
-1,237,052
AR-score:
1,916th place
1,070,088
+4,623
F-score:
2,446th place
1,904
+11

Russian Wikipedia (ru)

PR-score:
1,910th place
1,084,452
-236,365
AR-score:
1,261st place
169,594
+1,867
F-score:
1,755th place
435
-2

Polish Wikipedia (pl)

PR-score:
998th place
567,901
-134,498
AR-score:
522nd place
233,654
+105
F-score:
474th place
1,109
0

Spanish Wikipedia (es)

PR-score:
6,805th place
305,369
-33,405
AR-score:
4,349th place
57,911
+1,200
F-score:
3,398th place
181
+4

German Wikipedia (de)

PR-score:
5,857th place
287,991
-14,170
AR-score:
3,386th place
86,807
+492
F-score:
1,608th place
434
+10

French Wikipedia (fr)

PR-score:
4,579th place
263,722
-53,650
AR-score:
1,780th place
161,775
+289
F-score:
1,463rd place
585
+3
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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...