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Genome-wide analyses using UK Biobank data provide insights into the genetic architecture of osteoarthritis

Overview of attention for article published in Nature Genetics, March 2018
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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 (96th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

news
8 news outlets
blogs
1 blog
twitter
58 X users
patent
1 patent
facebook
2 Facebook pages

Citations

dimensions_citation
236 Dimensions

Readers on

mendeley
279 Mendeley
citeulike
2 CiteULike
Title
Genome-wide analyses using UK Biobank data provide insights into the genetic architecture of osteoarthritis
Published in
Nature Genetics, March 2018
DOI 10.1038/s41588-018-0079-y
Pubmed ID
Authors

Eleni Zengini, Konstantinos Hatzikotoulas, Ioanna Tachmazidou, Julia Steinberg, Fernando P. Hartwig, Lorraine Southam, Sophie Hackinger, Cindy G. Boer, Unnur Styrkarsdottir, Arthur Gilly, Daniel Suveges, Britt Killian, Thorvaldur Ingvarsson, Helgi Jonsson, George C. Babis, Andrew McCaskie, Andre G. Uitterlinden, Joyce B. J. van Meurs, Unnur Thorsteinsdottir, Kari Stefansson, George Davey Smith, Jeremy M. Wilkinson, Eleftheria Zeggini

Abstract

Osteoarthritis is a common complex disease imposing a large public-health burden. Here, we performed a genome-wide association study for osteoarthritis, using data across 16.5 million variants from the UK Biobank resource. After performing replication and meta-analysis in up to 30,727 cases and 297,191 controls, we identified nine new osteoarthritis loci, in all of which the most likely causal variant was noncoding. For three loci, we detected association with biologically relevant radiographic endophenotypes, and in five signals we identified genes that were differentially expressed in degraded compared with intact articular cartilage from patients with osteoarthritis. We established causal effects on osteoarthritis for higher body mass index but not for triglyceride levels or genetic predisposition to type 2 diabetes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 279 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 22%
Researcher 48 17%
Student > Master 30 11%
Student > Bachelor 21 8%
Student > Postgraduate 12 4%
Other 39 14%
Unknown 69 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 78 28%
Medicine and Dentistry 48 17%
Agricultural and Biological Sciences 25 9%
Engineering 11 4%
Nursing and Health Professions 7 3%
Other 24 9%
Unknown 86 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 94. 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 04 June 2023.
All research outputs
#460,620
of 26,017,215 outputs
Outputs from Nature Genetics
#932
of 7,655 outputs
Outputs of similar age
#10,518
of 352,066 outputs
Outputs of similar age from Nature Genetics
#31
of 66 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,655 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.8. This one has done well, scoring higher than 87% 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 352,066 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 96% of its contemporaries.
We're also able to compare this research output to 66 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 53% of its contemporaries.