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Transcriptome-wide association study reveals candidate causal genes for lumbar spinal stenosis

Overview of attention for article published in Bone and Joint Research, June 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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30 X users

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mendeley
2 Mendeley
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Title
Transcriptome-wide association study reveals candidate causal genes for lumbar spinal stenosis
Published in
Bone and Joint Research, June 2023
DOI 10.1302/2046-3758.126.bjr-2022-0160.r1
Pubmed ID
Authors

Jiawen Xu, Haibo Si, Yi Zeng, Yuangang Wu, Shaoyun Zhang, Bin Shen

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 19 March 2024.
All research outputs
#2,273,046
of 26,004,690 outputs
Outputs from Bone and Joint Research
#130
of 853 outputs
Outputs of similar age
#42,001
of 381,610 outputs
Outputs of similar age from Bone and Joint Research
#1
of 17 outputs
Altmetric has tracked 26,004,690 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 84% 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 381,610 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.