bgs.ac.uk

The British Geological Survey is a partly publicly funded body which aims to advance geoscientific knowledge of the United Kingdom landmass and its continental shelf by means of systematic surveying, monitoring and research. More information...

Multilingual Wikipedia

In June 2020 the website bgs.ac.uk was on the 5,174th 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 5,141st place in June 2020. From Wikipedians' point of view, "bgs.ac.uk" is the 5,348th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before meteo.be and after sony.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
5,174th place
6,202,792
-1,012,003
AR-score:
5,348th place
861,319
+25,316
F-score:
5,141st place
2,604
+61

English Wikipedia (en)

PR-score:
3,834th place
4,374,451
-557,203
AR-score:
3,328th place
589,250
+23,314
F-score:
2,848th place
1,621
+53

German Wikipedia (de)

PR-score:
2,378th place
764,164
-100,665
AR-score:
2,994th place
99,930
+259
F-score:
4,583rd place
131
+2

Spanish Wikipedia (es)

PR-score:
4,901st place
440,425
-137,965
AR-score:
8,641st place
25,825
+366
F-score:
8,724th place
57
0

French Wikipedia (fr)

PR-score:
10,313th place
107,023
-15,820
AR-score:
11,424th place
18,261
+21
F-score:
3,135th place
255
0

Russian Wikipedia (ru)

PR-score:
19,851st place
83,682
-43,905
AR-score:
24,973rd place
6,309
+16
F-score:
11,940th place
50
0

Portuguese Wikipedia (pt)

PR-score:
11,819th place
53,031
-15,758
AR-score:
7,283rd place
12,539
+56
F-score:
6,036th place
55
0

Arabic Wikipedia (ar)

PR-score:
5,201st place
34,071
-8,180
AR-score:
3,360th place
16,369
+125
F-score:
5,129th place
45
+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...