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Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci

Overview of attention for article published in Nature Genetics, June 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)


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211 Mendeley
3 CiteULike
Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci
Published in
Nature Genetics, June 2013
DOI 10.1038/ng.2667
Pubmed ID

Adrian Cortes, Johanna Hadler, Jenny P Pointon, Philip C Robinson, Tugce Karaderi, Paul Leo, Katie Cremin, Karena Pryce, Jessica Harris, Seunghun Lee, Kyung Bin Joo, Seung-Cheol Shim, Michael Weisman, Michael Ward, Xiaodong Zhou, Henri-Jean Garchon, Gilles Chiocchia, Johannes Nossent, Benedicte A Lie, Øystein Førre, Jaakko Tuomilehto, Kari Laiho, Lei Jiang, Yu Liu, Xin Wu, Linda A Bradbury, Dirk Elewaut, Ruben Burgos-Vargas, Simon Stebbings, Louise Appleton, Claire Farrah, Jonathan Lau, Tony J Kenna, Nigil Haroon, Manuel A Ferreira, Jian Yang, Juan Mulero, Jose Luis Fernandez-Sueiro, Miguel A Gonzalez-Gay, Carlos Lopez-Larrea, Panos Deloukas, Peter Donnelly, Paul Bowness, Karl Gafney, Hill Gaston, Dafna D Gladman, Proton Rahman, Walter P Maksymowych, Huji Xu, J Bart A Crusius, Irene E van der Horst-Bruinsma, Chung-Tei Chou, Raphael Valle-Oñate, Consuelo Romero-Sánchez, Inger Myrnes Hansen, Fernando M Pimentel-Santos, Robert D Inman, Vibeke Videm, Javier Martin, Maxime Breban, John D Reveille, David M Evans, Tae-Hwan Kim, Bryan Paul Wordsworth, Matthew A Brown


Ankylosing spondylitis is a common, highly heritable inflammatory arthritis affecting primarily the spine and pelvis. In addition to HLA-B*27 alleles, 12 loci have previously been identified that are associated with ankylosing spondylitis in populations of European ancestry, and 2 associated loci have been identified in Asians. In this study, we used the Illumina Immunochip microarray to perform a case-control association study involving 10,619 individuals with ankylosing spondylitis (cases) and 15,145 controls. We identified 13 new risk loci and 12 additional ankylosing spondylitis-associated haplotypes at 11 loci. Two ankylosing spondylitis-associated regions have now been identified encoding four aminopeptidases that are involved in peptide processing before major histocompatibility complex (MHC) class I presentation. Protective variants at two of these loci are associated both with reduced aminopeptidase function and with MHC class I cell surface expression.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 1 <1%
Australia 1 <1%
Bulgaria 1 <1%
Portugal 1 <1%
Finland 1 <1%
China 1 <1%
Germany 1 <1%
Turkey 1 <1%
Other 1 <1%
Unknown 197 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 24%
Researcher 48 23%
Student > Bachelor 24 11%
Student > Master 19 9%
Unspecified 17 8%
Other 52 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 32%
Medicine and Dentistry 64 30%
Biochemistry, Genetics and Molecular Biology 29 14%
Unspecified 26 12%
Immunology and Microbiology 9 4%
Other 16 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2017.
All research outputs
of 12,194,836 outputs
Outputs from Nature Genetics
of 5,978 outputs
Outputs of similar age
of 143,243 outputs
Outputs of similar age from Nature Genetics
of 68 outputs
Altmetric has tracked 12,194,836 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.8. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 143,243 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.