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LEMON: a method to construct the local strains at horizontal gene transfer sites in gut metagenomics

Overview of attention for article published in BMC Bioinformatics, December 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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10 X users

Citations

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8 Dimensions

Readers on

mendeley
24 Mendeley
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Title
LEMON: a method to construct the local strains at horizontal gene transfer sites in gut metagenomics
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3301-8
Pubmed ID
Authors

Chen Li, Yiqi Jiang, Shuaicheng Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Researcher 6 25%
Other 1 4%
Student > Master 1 4%
Unknown 9 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 17%
Agricultural and Biological Sciences 3 13%
Environmental Science 2 8%
Immunology and Microbiology 2 8%
Computer Science 1 4%
Other 3 13%
Unknown 9 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 April 2023.
All research outputs
#7,057,008
of 25,734,859 outputs
Outputs from BMC Bioinformatics
#2,441
of 7,739 outputs
Outputs of similar age
#144,653
of 480,613 outputs
Outputs of similar age from BMC Bioinformatics
#61
of 212 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,739 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 480,613 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 212 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.