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Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data

Overview of attention for article published in Nature Genetics, January 2019
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Citations

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360 Dimensions

Readers on

mendeley
360 Mendeley
citeulike
3 CiteULike
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Title
Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data
Published in
Nature Genetics, January 2019
DOI 10.1038/s41588-018-0327-1
Pubmed ID
Authors

Ioanna Tachmazidou, Konstantinos Hatzikotoulas, Lorraine Southam, Jorge Esparza-Gordillo, Valeriia Haberland, Jie Zheng, Toby Johnson, Mine Koprulu, Eleni Zengini, Julia Steinberg, Jeremy M. Wilkinson, Sahir Bhatnagar, Joshua D. Hoffman, Natalie Buchan, Dániel Süveges, Laura Yerges-Armstrong, George Davey Smith, Tom R. Gaunt, Robert A. Scott, Linda C. McCarthy, Eleftheria Zeggini

X Demographics

X Demographics

The data shown below were collected from the profiles of 83 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 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 360 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 19%
Researcher 67 19%
Student > Master 33 9%
Student > Bachelor 27 8%
Other 16 4%
Other 42 12%
Unknown 108 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 94 26%
Medicine and Dentistry 33 9%
Agricultural and Biological Sciences 27 8%
Engineering 14 4%
Nursing and Health Professions 13 4%
Other 51 14%
Unknown 128 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 199. 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 15 August 2022.
All research outputs
#201,711
of 25,713,737 outputs
Outputs from Nature Genetics
#318
of 7,606 outputs
Outputs of similar age
#4,275
of 449,461 outputs
Outputs of similar age from Nature Genetics
#12
of 69 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.4. This one has done particularly well, scoring higher than 95% 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 449,461 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 99% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.