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Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cells

Overview of attention for article published in Genome Biology (Online Edition), March 2021
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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 (94th percentile)

Mentioned by

news
1 news outlet
twitter
74 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cells
Published in
Genome Biology (Online Edition), March 2021
DOI 10.1186/s13059-021-02293-3
Pubmed ID
Authors

Drew Neavin, Quan Nguyen, Maciej S. Daniszewski, Helena H. Liang, Han Sheng Chiu, Yong Kiat Wee, Anne Senabouth, Samuel W. Lukowski, Duncan E. Crombie, Grace E. Lidgerwood, Damián Hernández, James C. Vickers, Anthony L. Cook, Nathan J. Palpant, Alice Pébay, Alex W. Hewitt, Joseph E. Powell

Twitter Demographics

The data shown below were collected from the profiles of 74 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 7 18%
Student > Bachelor 6 16%
Professor 3 8%
Student > Postgraduate 2 5%
Other 4 11%
Unknown 7 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 32%
Agricultural and Biological Sciences 9 24%
Computer Science 4 11%
Medicine and Dentistry 2 5%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 9 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 24 November 2021.
All research outputs
#596,406
of 19,539,469 outputs
Outputs from Genome Biology (Online Edition)
#475
of 3,847 outputs
Outputs of similar age
#17,207
of 311,803 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 19,539,469 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 3,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. 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 311,803 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 94% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them