nhsggc.org.uk

NHS Greater Glasgow and Clyde is an NHS board in West Central Scotland, created from the amalgamation of NHS Greater Glasgow and part of NHS Argyll and Clyde on 1 April 2006. More information...

Multilingual Wikipedia

In June 2020 the website nhsggc.org.uk was on the 82,725th 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 80,936th place in June 2020. From Wikipedians' point of view, "nhsggc.org.uk" is the 85,626th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before unak.is and after ncsfreedom.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
82,725th place
244,948
-80,544
AR-score:
85,626th place
32,743
-13
F-score:
80,936th place
95
0

Russian Wikipedia (ru)

PR-score:
12,825th place
140,025
-56,925
AR-score:
25,197th place
6,250
0
F-score:
81,372nd place
4
0

English Wikipedia (en)

PR-score:
97,154th place
97,546
-14,339
AR-score:
55,942nd place
22,480
-12
F-score:
41,960th place
68
0

Ukrainian Wikipedia (uk)

PR-score:
13,810th place
6,100
-7,125
AR-score:
24,757th place
1,000
0
F-score:
50,143rd place
2
0

German Wikipedia (de)

PR-score:
323,372nd place
366
-550
AR-score:
128,876th place
1,550
0
F-score:
62,676th place
7
0

Belarusian Wikipedia (be)

PR-score:
5,369th place
300
-600
AR-score:
4,689th place
500
0
F-score:
5,129th place
4
0

Belarusian (Taraškievica) Wikipedia (be-x-old)

PR-score:
2,824th place
300
-500
AR-score:
2,790th place
600
0
F-score:
2,266th place
4
0

Armenian Wikipedia (hy)

PR-score:
17,363rd place
210
-154
AR-score:
28,457th place
113
0
F-score:
17,825th place
3
0

Kirghiz Wikipedia (ky)

PR-score:
867th place
100
-350
AR-score:
446th place
250
0
F-score:
298th place
3
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...