airliners.net

Airliners.net is an aviation website that includes an extensive photo database of aircraft and airports, as well as a forum catering to aviation enthusiasts. Created by Johan Lundgren, Jr., the site originated in 1996 as Pictures of Modern Airliners. It was acquired by Demand Media in 2007 and underwent a major redesign in 2016. More information...

Multilingual Wikipedia

In June 2020 the website airliners.net was on the 2,819th 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 3,334th place in June 2020. From Wikipedians' point of view, "airliners.net" is the 2,986th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before google.pt and after cato.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
2,819th place
12,331,709
-3,100,096
AR-score:
2,986th place
1,636,344
-9,452
F-score:
3,334th place
4,223
+11

English Wikipedia (en)

PR-score:
2,350th place
7,544,469
-1,774,881
AR-score:
2,958th place
664,766
-4,078
F-score:
3,794th place
1,183
0

German Wikipedia (de)

PR-score:
2,074th place
897,647
-197,077
AR-score:
2,179th place
144,555
+144
F-score:
2,857th place
228
+1

Spanish Wikipedia (es)

PR-score:
3,440th place
661,492
-198,379
AR-score:
2,260th place
122,246
-2,432
F-score:
2,194th place
307
0

Russian Wikipedia (ru)

PR-score:
3,219th place
623,343
-165,481
AR-score:
2,826th place
71,109
-3,124
F-score:
4,231st place
168
0

Chinese Wikipedia (zh)

PR-score:
1,960th place
527,494
-84,305
AR-score:
1,069th place
82,052
+223
F-score:
1,724th place
214
0

French Wikipedia (fr)

PR-score:
3,005th place
431,686
-195,999
AR-score:
3,131st place
82,986
-260
F-score:
3,220th place
247
+2
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...