literaryawards.co.uk

Multilingual Wikipedia

In June 2020 the website literaryawards.co.uk was on the 90,309th 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 247,174th place in June 2020. From Wikipedians' point of view, "literaryawards.co.uk" is the 161,753rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before donswaim.com and after randomstuff.org.uk in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
90,309th place
220,282
+15,041
AR-score:
161,753rd place
15,343
+10
F-score:
247,174th place
23
0

English Wikipedia (en)

PR-score:
88,531st place
109,457
-16,895
AR-score:
114,420th place
9,768
+7
F-score:
230,911th place
8
0

Russian Wikipedia (ru)

PR-score:
16,575th place
103,776
+33,316
AR-score:
57,341st place
2,323
0
F-score:
137,090th place
2
0

Spanish Wikipedia (es)

PR-score:
162,656th place
2,167
-608
AR-score:
94,684th place
1,277
0
F-score:
120,764th place
2
0

Ukrainian Wikipedia (uk)

PR-score:
31,050th place
1,680
-529
AR-score:
31,802nd place
713
0
F-score:
32,693rd place
4
0

Chinese Wikipedia (zh)

PR-score:
115,148th place
1,000
+138
AR-score:
128,645th place
125
+5
F-score:
134,772nd place
1
0

Portuguese Wikipedia (pt)

PR-score:
120,501st place
956
-94
AR-score:
99,898th place
382
0
F-score:
79,056th place
2
0

Arabic Wikipedia (ar)

PR-score:
65,068th place
645
-73
AR-score:
54,522nd place
581
0
F-score:
91,915th place
1
0

Romanian Wikipedia (ro)

PR-score:
27,617th place
545
-212
AR-score:
33,863rd place
121
0
F-score:
20,063rd place
2
0

Georgian Wikipedia (ka)

PR-score:
17,279th place
52
-3
AR-score:
15,553rd place
50
0
F-score:
15,896th place
1
0

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...