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VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
2 blogs
twitter
116 X users
wikipedia
1 Wikipedia page
video
1 YouTube creator

Citations

dimensions_citation
535 Dimensions

Readers on

mendeley
398 Mendeley
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Title
VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses
Published in
Microbiome, February 2021
DOI 10.1186/s40168-020-00990-y
Pubmed ID
Authors

Jiarong Guo, Ben Bolduc, Ahmed A. Zayed, Arvind Varsani, Guillermo Dominguez-Huerta, Tom O. Delmont, Akbar Adjie Pratama, M. Consuelo Gazitúa, Dean Vik, Matthew B. Sullivan, Simon Roux

X Demographics

X Demographics

The data shown below were collected from the profiles of 116 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 398 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 398 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 80 20%
Student > Ph. D. Student 74 19%
Student > Master 40 10%
Student > Bachelor 39 10%
Student > Doctoral Student 22 6%
Other 27 7%
Unknown 116 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 93 23%
Biochemistry, Genetics and Molecular Biology 82 21%
Immunology and Microbiology 27 7%
Environmental Science 22 6%
Computer Science 10 3%
Other 29 7%
Unknown 135 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 13 November 2023.
All research outputs
#554,934
of 25,837,817 outputs
Outputs from Microbiome
#146
of 1,789 outputs
Outputs of similar age
#16,279
of 537,197 outputs
Outputs of similar age from Microbiome
#5
of 62 outputs
Altmetric has tracked 25,837,817 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 1,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has done particularly well, scoring higher than 91% 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 537,197 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 96% of its contemporaries.
We're also able to compare this research output to 62 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 91% of its contemporaries.