Viktor Axelsen (Indonesian Wikipedia)

Analisys of sources in references of the Wikipedia ariticle id.wikipedia.org/wiki/Viktor Axelsen

SiteHosts in references Count Global rank Indonesian rank
badzine.netbadzine.net↓ (5)5low5007
bwfbadminton.combwfbadminton.com↓ (5)579272204
badmintoneurope.combadmintoneurope.com↓ (4)4lowlow
archive.orgweb.archive.org↓ (4)425
fyens.dkfyens.dk↓ (3)3lowlow
insidethegames.bizinsidethegames.biz↓ (3)330603075
tournamentsoftware.combwfcontent.tournamentsoftware.com↓ (1), bwf.tournamentsoftware.com↓ (1)252651782
udogse.dkudogse.dk↓ (2)2lowlow
tv2.dksport.tv2.dk↓ (2)229199107
czechbadminton.czczechbadminton.cz↓ (1)1lowlow
politiken.dkpolitiken.dk↓ (1)12104low
dr.dkdr.dk↓ (1)11356low
tv2lorry.dktv2lorry.dk↓ (1)1lowlow
yonex.comyonex.com↓ (1)1lowlow
bbc.combbc.com↓ (1)124102
bwfworldsuperseries.combwfworldsuperseries.com↓ (1)1low7622
indiatimes.comtimesofindia.indiatimes.com↓ (1)125153
badmintonplanet.combadmintonplanet.com↓ (1)1lowlow
olympicchannel.comolympicchannel.com↓ (1)1lowlow
bwfworldtour.combwfworldtour.com↓ (1)1low6411
bwfbadminton.orgbwfbadminton.org↓ (1)1low1045
va-collection.dkva-collection.dk↓ (1)1lowlow
firstsportz.comfirstsportz.com↓ (1)1lowlow
xinhuanet.comxinhuanet.com↓ (1)1151311
chinanews.comchinanews.com↓ (1)18664131

badmintoneurope.com

badmintonplanet.com

badzine.net

bbc.com

bwf.tournamentsoftware.com

bwfbadminton.com

bwfbadminton.org

bwfcontent.tournamentsoftware.com

bwfworldsuperseries.com

  • 37. "Salinan arsip" (dalam bahasa Inggris). Diarsipkan dari versi asli tanggal 10 November 2014. Diakses tanggal 27 Juli 2016. 

bwfworldtour.com

chinanews.com

czechbadminton.cz

dr.dk

  • 19. Nielsen, Erik (20 April 2012). "Axelsen ude af EM" (dalam bahasa Dansk). DR. Diakses tanggal 17 Februari 2019. 

firstsportz.com

fyens.dk

insidethegames.biz

olympicchannel.com

politiken.dk

sport.tv2.dk

timesofindia.indiatimes.com

tv2lorry.dk

udogse.dk

va-collection.dk

web.archive.org

xinhuanet.com

yonex.com

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...

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