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Comparison of 16S and whole genome dog microbiomes using machine learning

Overview of attention for article published in BioData Mining, August 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Comparison of 16S and whole genome dog microbiomes using machine learning
Published in
BioData Mining, August 2021
DOI 10.1186/s13040-021-00270-x
Pubmed ID
Authors

Scott Lewis, Andrea Nash, Qinghong Li, Tae-Hyuk Ahn

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 12%
Student > Master 7 12%
Student > Ph. D. Student 6 10%
Researcher 5 8%
Other 4 7%
Other 7 12%
Unknown 23 39%
Readers by discipline Count As %
Medicine and Dentistry 8 14%
Unspecified 7 12%
Biochemistry, Genetics and Molecular Biology 6 10%
Agricultural and Biological Sciences 6 10%
Engineering 3 5%
Other 3 5%
Unknown 26 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2021.
All research outputs
#14,666,620
of 25,837,817 outputs
Outputs from BioData Mining
#179
of 324 outputs
Outputs of similar age
#184,561
of 438,189 outputs
Outputs of similar age from BioData Mining
#4
of 12 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 324 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 44th percentile – i.e., 44% 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 438,189 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 57% of its contemporaries.
We're also able to compare this research output to 12 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 66% of its contemporaries.