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PathoFact: a pipeline for the prediction of virulence factors and antimicrobial resistance genes in metagenomic data

Overview of attention for article published in Microbiome, February 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 (86th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
65 X users
video
1 YouTube creator

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
224 Mendeley
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Title
PathoFact: a pipeline for the prediction of virulence factors and antimicrobial resistance genes in metagenomic data
Published in
Microbiome, February 2021
DOI 10.1186/s40168-020-00993-9
Pubmed ID
Authors

Laura de Nies, Sara Lopes, Susheel Bhanu Busi, Valentina Galata, Anna Heintz-Buschart, Cedric Christian Laczny, Patrick May, Paul Wilmes

X Demographics

X Demographics

The data shown below were collected from the profiles of 65 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 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 224 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 18%
Researcher 32 14%
Student > Master 16 7%
Student > Postgraduate 13 6%
Student > Bachelor 13 6%
Other 30 13%
Unknown 79 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 19%
Biochemistry, Genetics and Molecular Biology 40 18%
Immunology and Microbiology 22 10%
Environmental Science 8 4%
Veterinary Science and Veterinary Medicine 5 2%
Other 18 8%
Unknown 89 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 2022.
All research outputs
#711,106
of 25,378,799 outputs
Outputs from Microbiome
#193
of 1,743 outputs
Outputs of similar age
#19,888
of 431,030 outputs
Outputs of similar age from Microbiome
#12
of 81 outputs
Altmetric has tracked 25,378,799 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.4. 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 431,030 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 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.