pastscape.org.uk

National Record of the Historic Environment is the Historic England database of archaeological, architectural and maritime sites.

Multilingual Wikipedia

In June 2020 the website pastscape.org.uk was on the 9,396th 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 2,906th place in June 2020. From Wikipedians' point of view, "pastscape.org.uk" is the 6,081st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before buscabiografias.com and after instructables.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
9,396th place
3,173,827
-147,392
AR-score:
6,081st place
741,016
-250
F-score:
2,906th place
4,906
+5

English Wikipedia (en)

PR-score:
5,431st place
2,925,449
-105,828
AR-score:
3,532nd place
547,397
-1,099
F-score:
1,487th place
3,263
0

French Wikipedia (fr)

PR-score:
17,093rd place
60,692
+2,679
AR-score:
8,627th place
25,226
+76
F-score:
4,507th place
161
0

Spanish Wikipedia (es)

PR-score:
33,928th place
42,744
-12,435
AR-score:
20,763rd place
9,341
+168
F-score:
8,293rd place
60
0

Japanese Wikipedia (ja)

PR-score:
26,586th place
41,936
-3,707
AR-score:
39,610th place
2,152
0
F-score:
12,302nd place
33
0

German Wikipedia (de)

PR-score:
37,804th place
34,916
-6,238
AR-score:
3,005th place
99,604
+76
F-score:
1,345th place
521
+1

Italian Wikipedia (it)

PR-score:
43,858th place
9,899
-5,409
AR-score:
19,611th place
6,999
+2
F-score:
4,782nd place
79
0

Polish Wikipedia (pl)

PR-score:
37,606th place
6,593
-2,371
AR-score:
9,369th place
8,183
+150
F-score:
4,971st place
67
+3

Danish Wikipedia (da)

PR-score:
7,148th place
4,685
-2,557
AR-score:
10,089th place
1,344
0
F-score:
140th place
422
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...