greenend.org.uk

Multilingual Wikipedia

In June 2020 the website greenend.org.uk was on the 10,033rd 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 51,427th place in June 2020. From Wikipedians' point of view, "greenend.org.uk" is the 21,183rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before hnonline.sk and after es.tl in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
10,033rd place
2,945,982
-223,011
AR-score:
21,183rd place
172,543
+3,138
F-score:
51,427th place
167
+1

English Wikipedia (en)

PR-score:
8,268th place
1,819,659
-142,511
AR-score:
16,902nd place
92,538
+2,672
F-score:
47,728th place
58
+1

Russian Wikipedia (ru)

PR-score:
4,835th place
406,333
-23,878
AR-score:
10,240th place
17,322
0
F-score:
42,995th place
10
0

Simple English Wikipedia (simple)

PR-score:
234th place
128,000
-7,100
AR-score:
4,361st place
2,800
0
F-score:
26,881st place
1
0

Spanish Wikipedia (es)

PR-score:
16,493rd place
108,755
-12,740
AR-score:
26,753rd place
6,948
+40
F-score:
63,956th place
5
0

Chinese Wikipedia (zh)

PR-score:
8,908th place
91,211
-11,146
AR-score:
15,042nd place
4,051
+70
F-score:
17,924th place
13
0

Italian Wikipedia (it)

PR-score:
8,672nd place
73,806
-10,939
AR-score:
18,257th place
7,556
+102
F-score:
42,607th place
6
0

Polish Wikipedia (pl)

PR-score:
8,252nd place
56,433
-20,567
AR-score:
9,954th place
7,633
0
F-score:
55,727th place
3
0

Hungarian Wikipedia (hu)

PR-score:
9,656th place
8,446
-1,550
AR-score:
31,281st place
436
0
F-score:
13,042nd place
6
0

Catalan Wikipedia (ca)

PR-score:
13,996th place
1,684
-737
AR-score:
15,208th place
1,631
0
F-score:
11,342nd place
10
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...