lancashiretelegraph.co.uk

The Lancashire Telegraph, formerly the Lancashire Evening Telegraph, is a local tabloid newspaper distributed in East Lancashire, England. It is edited by Karl Holbrook. There are around twenty towns in the area, including Blackburn, Burnley, Accrington, Darwen, Nelson, Clitheroe, Colne, and Rawtenstall. More information...

Multilingual Wikipedia

In June 2020 the website lancashiretelegraph.co.uk was on the 5,949th 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 3,986th place in June 2020. From Wikipedians' point of view, "lancashiretelegraph.co.uk" is the 3,879th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before cjonline.com and after state.nv.us in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
5,949th place
5,315,331
+83,054
AR-score:
3,879th place
1,226,814
+14,592
F-score:
3,986th place
3,460
+47

English Wikipedia (en)

PR-score:
3,475th place
4,867,512
+88,432
AR-score:
1,925th place
1,061,831
+11,678
F-score:
1,765th place
2,707
+35

Spanish Wikipedia (es)

PR-score:
11,004th place
174,838
-5,416
AR-score:
7,331st place
31,058
+217
F-score:
8,302nd place
60
0

German Wikipedia (de)

PR-score:
16,649th place
91,091
+20,523
AR-score:
7,886th place
33,851
+150
F-score:
7,322nd place
75
+1

Russian Wikipedia (ru)

PR-score:
38,195th place
37,023
+3,319
AR-score:
18,289th place
8,999
+1,432
F-score:
8,116th place
79
+3

French Wikipedia (fr)

PR-score:
28,299th place
33,541
-16,942
AR-score:
12,249th place
16,884
+43
F-score:
9,114th place
70
+2

Arabic Wikipedia (ar)

PR-score:
21,778th place
5,101
-492
AR-score:
4,033rd place
13,412
+36
F-score:
3,200th place
77
+1
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...