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An ensemble method for prediction of phage-based therapy against bacterial infections

Overview of attention for article published in Frontiers in Microbiology, March 2023
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
26 Mendeley
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Title
An ensemble method for prediction of phage-based therapy against bacterial infections
Published in
Frontiers in Microbiology, March 2023
DOI 10.3389/fmicb.2023.1148579
Pubmed ID
Authors

Suchet Aggarwal, Anjali Dhall, Sumeet Patiyal, Shubham Choudhury, Akanksha Arora, Gajendra P. S. Raghava

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 3 12%
Unspecified 2 8%
Professor 1 4%
Student > Bachelor 1 4%
Other 2 8%
Unknown 12 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 19%
Agricultural and Biological Sciences 4 15%
Unspecified 2 8%
Computer Science 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 12 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 14 April 2023.
All research outputs
#4,343,006
of 24,601,689 outputs
Outputs from Frontiers in Microbiology
#4,059
of 27,968 outputs
Outputs of similar age
#80,748
of 406,413 outputs
Outputs of similar age from Frontiers in Microbiology
#61
of 1,114 outputs
Altmetric has tracked 24,601,689 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,968 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 85% 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 406,413 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 80% of its contemporaries.
We're also able to compare this research output to 1,114 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 94% of its contemporaries.