metalhammer.co.uk

Metal Hammer is a monthly heavy metal and rock music magazine, published in the United Kingdom by Future and in several other countries by different publishers. Metal Hammer articles feature both mainstream bands and more unusual acts from the whole spectrum of heavy metal music. More information...

Multilingual Wikipedia

In June 2020 the website metalhammer.co.uk was on the 6,357th 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 8,018th place in June 2020. From Wikipedians' point of view, "metalhammer.co.uk" is the 5,228th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before rijksmuseum.nl and after ubisoft.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
6,357th place
4,930,686
-794,970
AR-score:
5,228th place
883,140
+473
F-score:
8,018th place
1,574
-3

English Wikipedia (en)

PR-score:
4,273rd place
3,871,289
-604,980
AR-score:
3,312th place
592,220
-385
F-score:
7,403rd place
557
-5

Spanish Wikipedia (es)

PR-score:
5,160th place
415,094
-88,310
AR-score:
2,831st place
94,864
+446
F-score:
4,241st place
139
+1

Russian Wikipedia (ru)

PR-score:
9,873rd place
186,991
-33,434
AR-score:
7,209th place
26,063
-59
F-score:
6,938th place
95
0

Portuguese Wikipedia (pt)

PR-score:
6,148th place
111,760
-4,944
AR-score:
4,323rd place
22,594
+56
F-score:
6,179th place
53
0

French Wikipedia (fr)

PR-score:
10,468th place
105,189
-20,225
AR-score:
7,017th place
32,245
+49
F-score:
6,580th place
103
0

Italian Wikipedia (it)

PR-score:
12,071st place
50,798
-16,277
AR-score:
6,801st place
22,007
+21
F-score:
5,565th place
66
0
Show all Wikipedia languages...

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...