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PTWAS: investigating tissue-relevant causal molecular mechanisms of complex traits using probabilistic TWAS analysis

Overview of attention for article published in Genome Biology, September 2020
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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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
31 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
95 Mendeley
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Title
PTWAS: investigating tissue-relevant causal molecular mechanisms of complex traits using probabilistic TWAS analysis
Published in
Genome Biology, September 2020
DOI 10.1186/s13059-020-02026-y
Pubmed ID
Authors

Yuhua Zhang, Corbin Quick, Ketian Yu, Alvaro Barbeira, Francesca Luca, Roger Pique-Regi, Hae Kyung Im, Xiaoquan Wen

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 26%
Researcher 15 16%
Student > Bachelor 7 7%
Student > Postgraduate 5 5%
Student > Doctoral Student 4 4%
Other 11 12%
Unknown 28 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 32%
Agricultural and Biological Sciences 16 17%
Computer Science 6 6%
Mathematics 4 4%
Medicine and Dentistry 2 2%
Other 7 7%
Unknown 30 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 11 September 2023.
All research outputs
#1,750,782
of 25,837,817 outputs
Outputs from Genome Biology
#1,442
of 4,506 outputs
Outputs of similar age
#46,843
of 428,945 outputs
Outputs of similar age from Genome Biology
#47
of 84 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 67% 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 428,945 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 84 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.