typepad.co.uk

Multilingual Wikipedia

In June 2020 the website typepad.co.uk was on the 53,965th 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 46,938th place in June 2020. From Wikipedians' point of view, "typepad.co.uk" is the 49,072nd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before aperiodical.com and after alt-berlin.info in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
53,965th place
406,319
-38,000
AR-score:
49,072nd place
63,452
+164
F-score:
46,938th place
188
0

English Wikipedia (en)

PR-score:
33,187th place
353,244
-38,620
AR-score:
32,172nd place
43,372
+131
F-score:
30,352nd place
102
0

Indonesian Wikipedia (id)

PR-score:
4,306th place
21,994
+8,810
AR-score:
13,380th place
1,217
0
F-score:
9,964th place
10
0

Spanish Wikipedia (es)

PR-score:
96,221st place
7,815
-1,804
AR-score:
35,160th place
4,993
+3
F-score:
37,230th place
10
0

Russian Wikipedia (ru)

PR-score:
100,275th place
7,711
-1,302
AR-score:
94,598th place
1,151
0
F-score:
85,100th place
4
0

Italian Wikipedia (it)

PR-score:
89,500th place
2,764
-276
AR-score:
150,796th place
352
0
F-score:
85,798th place
3
0

German Wikipedia (de)

PR-score:
183,316th place
2,512
-1,988
AR-score:
76,999th place
2,979
+6
F-score:
36,866th place
12
0

Catalan Wikipedia (ca)

PR-score:
16,657th place
1,320
-310
AR-score:
14,669th place
1,700
0
F-score:
42,883rd place
2
0

French Wikipedia (fr)

PR-score:
225,481st place
836
-375
AR-score:
226,793rd place
362
+12
F-score:
74,384th place
6
0

Hebrew Wikipedia (he)

PR-score:
35,700th place
251
-3
AR-score:
9,849th place
2,140
0
F-score:
17,348th place
2
0
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...