nih.org.pk

The National Institutes of Health , is a Pakistani research institute located in Islamabad, Pakistan. The institute is an autonomous body of Ministry of National Health Services, Regulation and Coordination, primary responsible for biomedical and health related research along with vaccine manufacturing. More information...

Multilingual Wikipedia

In June 2020 the website nih.org.pk was on the 40,479th 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 77,322nd place in June 2020. From Wikipedians' point of view, "nih.org.pk" is the 494,349th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before bmj.de and after pressawards.org.uk in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
40,479th place
568,930
-82,692
AR-score:
494,349th place
3,904
+392
F-score:
77,322nd place
100
+26

English Wikipedia (en)

PR-score:
23,047th place
543,446
-91,423
AR-score:
285,117th place
3,262
+153
F-score:
61,647th place
42
0

Korean Wikipedia (ko)

PR-score:
7,016th place
11,221
+5,000
AR-score:
35,972nd place
157
+80
F-score:
26,039th place
2
0

French Wikipedia (fr)

PR-score:
83,787th place
7,650
-490
AR-score:
299,706th place
163
+27
F-score:
41,366th place
12
0

Russian Wikipedia (ru)

PR-score:
136,793rd place
3,750
+3,750
AR-score:
285,687th place
64
+64
F-score:
29,047th place
17
+17

Sindhi Wikipedia (sd)

PR-score:
413th place
673
+230
AR-score:
1,625th place
48
0
F-score:
684th place
3
0

Finnish Wikipedia (fi)

PR-score:
47,514th place
513
+513
AR-score:
91,693rd place
46
+46
F-score:
18,460th place
7
+7

Arabic Wikipedia (ar)

PR-score:
92,532nd place
233
-165
AR-score:
144,851st place
80
0
F-score:
20,247th place
9
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...