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PARGT: a software tool for predicting antimicrobial resistance in bacteria

Overview of attention for article published in Scientific Reports, July 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
8 X users
reddit
1 Redditor

Readers on

mendeley
140 Mendeley
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Article details
Title
PARGT: a software tool for predicting antimicrobial resistance in bacteria
Published in
Scientific Reports, July 2020
DOI 10.1038/s41598-020-67949-9
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 24 17%
Researcher 21 15%
Student > Master 10 7%
Student > Bachelor 7 5%
Unspecified 5 4%
Other 18 13%
Unknown 55 39%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 15%
Agricultural and Biological Sciences 14 10%
Computer Science 12 9%
Medicine and Dentistry 6 4%
Immunology and Microbiology 5 4%
Other 22 16%
Unknown 60 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 16 December 2020.
All research outputs
#1,859,855
of 32,221,736 outputs
Outputs from Scientific Reports
#17,702
of 174,713 outputs
Outputs of similar age
#41,547
of 448,344 outputs
Outputs of similar age from Scientific Reports
#485
of 4,081 outputs
Altmetric has tracked 32,221,736 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 174,713 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 89% 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 448,344 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 90% of its contemporaries.
We're also able to compare this research output to 4,081 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.