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MIRTH: Metabolite Imputation via Rank-Transformation and Harmonization

Overview of attention for article published in Genome Biology, September 2022
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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 (80th percentile)

Mentioned by

twitter
17 X users

Readers on

mendeley
3 Mendeley
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Title
MIRTH: Metabolite Imputation via Rank-Transformation and Harmonization
Published in
Genome Biology, September 2022
DOI 10.1186/s13059-022-02738-3
Pubmed ID
Authors

Benjamin A. Freeman, Sophie Jaro, Tricia Park, Sam Keene, Wesley Tansey, Ed Reznik

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Researcher 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Agricultural and Biological Sciences 1 33%
Earth and Planetary Sciences 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 06 July 2023.
All research outputs
#4,283,608
of 25,392,582 outputs
Outputs from Genome Biology
#2,664
of 4,470 outputs
Outputs of similar age
#83,284
of 429,605 outputs
Outputs of similar age from Genome Biology
#39
of 53 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% 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 is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 429,605 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 80% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.