londonnet.co.uk

Multilingual Wikipedia

In June 2020 the website londonnet.co.uk was on the 36,587th 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 56,397th place in June 2020. From Wikipedians' point of view, "londonnet.co.uk" is the 33,310th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before bruxelles.be and after ibb.co in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
36,587th place
641,037
-181,525
AR-score:
33,310th place
101,146
-300
F-score:
56,397th place
149
0

English Wikipedia (en)

PR-score:
26,592nd place
457,733
-134,327
AR-score:
19,693rd place
77,742
+135
F-score:
53,968th place
49
-1

Russian Wikipedia (ru)

PR-score:
27,931st place
55,391
-29,310
AR-score:
74,435th place
1,642
-379
F-score:
100,597th place
3
0

Chinese Wikipedia (zh)

PR-score:
13,991st place
52,353
+4,892
AR-score:
17,826th place
3,316
-72
F-score:
43,524th place
4
0

French Wikipedia (fr)

PR-score:
46,702nd place
17,905
-7,547
AR-score:
41,277th place
4,410
+4
F-score:
39,438th place
12
+1

Ukrainian Wikipedia (uk)

PR-score:
7,042nd place
14,641
-3,317
AR-score:
10,236th place
2,891
0
F-score:
49,656th place
2
0

German Wikipedia (de)

PR-score:
110,987th place
7,338
-5,755
AR-score:
70,996th place
3,266
0
F-score:
81,856th place
5
0

Spanish Wikipedia (es)

PR-score:
120,499th place
4,816
-2,350
AR-score:
129,095th place
748
0
F-score:
37,100th place
10
0

Dutch Wikipedia (nl)

PR-score:
23,742nd place
3,883
-79
AR-score:
22,297th place
1,477
0
F-score:
3,991st place
20
0

Asturian Wikipedia (ast)

PR-score:
30,285th place
30
+12
AR-score:
41,347th place
18
0
F-score:
6,929th place
6
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...