sfx.co.uk

SFX, so called after the common homophonic abbreviation "SFX", standing for "special effects", is a British magazine covering the topics of science fiction and fantasy. More information...

Multilingual Wikipedia

In June 2020 the website sfx.co.uk was on the 5,599th 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 5,369th place in June 2020. From Wikipedians' point of view, "sfx.co.uk" is the 5,709th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before yorkpress.co.uk and after quotidiano.net in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
5,599th place
5,682,798
-934,824
AR-score:
5,709th place
795,953
+2,453
F-score:
5,369th place
2,480
+63

English Wikipedia (en)

PR-score:
3,569th place
4,715,280
-707,235
AR-score:
3,132nd place
625,913
+1,940
F-score:
4,551st place
970
0

Russian Wikipedia (ru)

PR-score:
7,456th place
256,300
-31,276
AR-score:
6,014th place
31,919
-232
F-score:
3,114th place
237
+3

French Wikipedia (fr)

PR-score:
4,842nd place
248,633
-79,594
AR-score:
4,834th place
50,182
+122
F-score:
4,152nd place
179
0

Spanish Wikipedia (es)

PR-score:
12,741st place
147,303
-27,201
AR-score:
8,004th place
28,211
+34
F-score:
2,033rd place
338
0

German Wikipedia (de)

PR-score:
19,284th place
77,203
-39,024
AR-score:
82,452nd place
2,741
0
F-score:
40,743rd place
11
0

Japanese Wikipedia (ja)

PR-score:
19,292nd place
64,157
-15,022
AR-score:
31,185th place
2,942
+326
F-score:
2,460th place
211
+59

Turkish Wikipedia (tr)

PR-score:
16,298th place
5,097
-1,194
AR-score:
5,241st place
6,030
+52
F-score:
1,736th place
57
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...