nfc.gov.lk

Multilingual Wikipedia

In June 2020 the website nfc.gov.lk was on the 51,850th 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 14,776th place in June 2020. From Wikipedians' point of view, "nfc.gov.lk" is the 25,321st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before tnstate.edu and after crusaders.co.nz in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
51,850th place
425,917
-131,469
AR-score:
25,321st place
139,995
+2,639
F-score:
14,776th place
766
-2

English Wikipedia (en)

PR-score:
28,576th place
421,874
-131,627
AR-score:
11,908th place
137,395
+2,621
F-score:
5,843rd place
734
-2

Sinhalese Wikipedia (si)

PR-score:
298th place
3,512
+375
AR-score:
222nd place
1,506
0
F-score:
369th place
14
0

Malayalam Wikipedia (ml)

PR-score:
10,543rd place
150
+100
AR-score:
7,694th place
300
0
F-score:
19,340th place
1
0

Tamil Wikipedia (ta)

PR-score:
16,054th place
116
-131
AR-score:
7,689th place
418
0
F-score:
3,878th place
7
0

Russian Wikipedia (ru)

PR-score:
320,017th place
73
-63
AR-score:
217,483rd place
200
0
F-score:
93,508th place
4
0

Persian Wikipedia (fa)

PR-score:
66,175th place
67
-6
AR-score:
70,731st place
42
0
F-score:
35,189th place
2
0

Hebrew Wikipedia (he)

PR-score:
51,752nd place
58
-59
AR-score:
59,108th place
29
+18
F-score:
62,112th place
1
0

Spanish Wikipedia (es)

PR-score:
328,366th place
50
-12
AR-score:
299,253rd place
62
0
F-score:
290,770th place
1
0

Turkish Wikipedia (tr)

PR-score:
88,568th place
8
-9
AR-score:
84,572nd place
19
0
F-score:
84,988th place
1
0

Bengali Wikipedia (bn)

PR-score:
44,047th place
5
-37
AR-score:
38,482nd place
21
0
F-score:
38,435th place
1
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...