charterhouse.org.uk

Charterhouse is a boarding school in Godalming, Surrey. Originally founded by Thomas Sutton in 1611 on the site of the old Carthusian monastery in Charterhouse Square, Smithfield, London, it educates over 800 pupils, aged 13 to 18 years, and is one of the original 'great' nine English public schools. Today pupils are still referred to as Carthusians, and ex-pupils as Old Carthusians. More information...

Multilingual Wikipedia

In June 2020 the website charterhouse.org.uk was on the 84,675th 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 115,480th place in June 2020. From Wikipedians' point of view, "charterhouse.org.uk" is the 65,382nd most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
84,675th place
238,083
-27,410
AR-score:
65,382nd place
45,101
+151
F-score:
115,480th place
61
0

English Wikipedia (en)

PR-score:
49,466th place
220,401
-26,809
AR-score:
33,676th place
41,118
+151
F-score:
50,806th place
53
0

Japanese Wikipedia (ja)

PR-score:
67,915th place
9,500
-100
AR-score:
71,482nd place
900
0
F-score:
197,431st place
1
0

German Wikipedia (de)

PR-score:
114,753rd place
6,900
0
AR-score:
90,528th place
2,450
0
F-score:
264,807th place
1
0

Russian Wikipedia (ru)

PR-score:
207,188th place
1,042
-200
AR-score:
165,109th place
414
0
F-score:
107,036th place
3
0

French Wikipedia (fr)

PR-score:
339,294th place
130
-120
AR-score:
330,817th place
110
0
F-score:
380,955th place
1
0

Ukrainian Wikipedia (uk)

PR-score:
92,353rd place
109
-181
AR-score:
88,396th place
109
0
F-score:
60,266th place
2
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...