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Computational Methods for Strain-Level Microbial Detection in Colony and Metagenome Sequencing Data

Overview of attention for article published in Frontiers in Microbiology, August 2020
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
27 X users
patent
1 patent
q&a
1 Q&A thread

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
165 Mendeley
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Title
Computational Methods for Strain-Level Microbial Detection in Colony and Metagenome Sequencing Data
Published in
Frontiers in Microbiology, August 2020
DOI 10.3389/fmicb.2020.01925
Pubmed ID
Authors

Christine Anyansi, Timothy J. Straub, Abigail L. Manson, Ashlee M. Earl, Thomas Abeel

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 19%
Researcher 25 15%
Student > Master 16 10%
Student > Doctoral Student 10 6%
Student > Bachelor 9 5%
Other 17 10%
Unknown 56 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 38 23%
Agricultural and Biological Sciences 23 14%
Immunology and Microbiology 8 5%
Medicine and Dentistry 8 5%
Computer Science 7 4%
Other 16 10%
Unknown 65 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 09 November 2023.
All research outputs
#1,952,354
of 26,052,823 outputs
Outputs from Frontiers in Microbiology
#1,285
of 30,083 outputs
Outputs of similar age
#51,695
of 429,341 outputs
Outputs of similar age from Frontiers in Microbiology
#62
of 901 outputs
Altmetric has tracked 26,052,823 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 95% 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 429,341 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 87% of its contemporaries.
We're also able to compare this research output to 901 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.