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Optimizing expression quantitative trait locus mapping workflows for single-cell studies

Overview of attention for article published in Genome Biology, June 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
2 blogs
twitter
76 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
95 Mendeley
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Title
Optimizing expression quantitative trait locus mapping workflows for single-cell studies
Published in
Genome Biology, June 2021
DOI 10.1186/s13059-021-02407-x
Pubmed ID
Authors

Anna S. E. Cuomo, Giordano Alvari, Christina B. Azodi, Davis J. McCarthy, Marc Jan Bonder

X Demographics

X Demographics

The data shown below were collected from the profiles of 76 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 16 17%
Researcher 15 16%
Student > Bachelor 12 13%
Student > Master 8 8%
Professor 4 4%
Other 11 12%
Unknown 29 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 32%
Agricultural and Biological Sciences 14 15%
Computer Science 6 6%
Medicine and Dentistry 3 3%
Immunology and Microbiology 3 3%
Other 7 7%
Unknown 32 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 28 February 2023.
All research outputs
#795,601
of 25,392,582 outputs
Outputs from Genome Biology
#531
of 4,470 outputs
Outputs of similar age
#20,985
of 455,417 outputs
Outputs of similar age from Genome Biology
#9
of 74 outputs
Altmetric has tracked 25,392,582 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 4,470 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 done well, scoring higher than 88% 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 455,417 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 95% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.