Geological Survey of Norway, abbr: NGU is a Norwegian government agency responsible for geologic mapping and research. The agency is located in Trondheim with an office in Tromsø, with about 200 employees. It is subordinate to the Norwegian Ministry of Trade, Industry and Fisheries. More information...

Multilingual Wikipedia

In June 2020 the website ngu.no was on the 42,538th 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 27,159th place in June 2020. From Wikipedians' point of view, "ngu.no" is the 17,387th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before lexington.es and after spraknamnden.se in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
42,538th place
536,271
-98,257
AR-score:
17,387th place
217,275
-410
F-score:
27,159th place
367
+4

Norwegian Wikipedia (no)

PR-score:
125th place
380,982
-78,164
AR-score:
191st place
188,287
-100
F-score:
449th place
243
0

English Wikipedia (en)

PR-score:
78,577th place
126,631
-14,292
AR-score:
81,486th place
14,479
+121
F-score:
59,625th place
44
0

Spanish Wikipedia (es)

PR-score:
79,053rd place
11,435
-2,721
AR-score:
112,054th place
964
0
F-score:
78,420th place
4
0

Swedish Wikipedia (sv)

PR-score:
17,598th place
4,044
-1,169
AR-score:
12,104th place
3,242
-583
F-score:
7,793rd place
13
0

Polish Wikipedia (pl)

PR-score:
63,363rd place
2,220
+1,580
AR-score:
125,983rd place
140
+50
F-score:
44,170th place
5
+1

German Wikipedia (de)

PR-score:
195,860th place
2,116
-794
AR-score:
59,985th place
3,940
+19
F-score:
50,719th place
9
0

Norwegian (Nynorsk) Wikipedia (nn)

PR-score:
853rd place
2,019
-430
AR-score:
874th place
3,259
+12
F-score:
590th place
29
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...