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A Systematic Strategy to Find Potential Therapeutic Targets for Pseudomonas aeruginosa Using Integrated Computational Models

Overview of attention for article published in Frontiers in Molecular Biosciences, September 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
14 Mendeley
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Title
A Systematic Strategy to Find Potential Therapeutic Targets for Pseudomonas aeruginosa Using Integrated Computational Models
Published in
Frontiers in Molecular Biosciences, September 2021
DOI 10.3389/fmolb.2021.728129
Pubmed ID
Authors

Fernando Medeiros Filho, Ana Paula Barbosa do Nascimento, Maiana de Oliveira Cerqueira e Costa, Thiago Castanheira Merigueti, Marcio Argollo de Menezes, Marisa Fabiana Nicolás, Marcelo Trindade dos Santos, Ana Paula D’Alincourt Carvalho-Assef, Fabrício Alves Barbosa da Silva

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Other 2 14%
Researcher 1 7%
Student > Bachelor 1 7%
Unknown 7 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Immunology and Microbiology 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unknown 8 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 October 2021.
All research outputs
#13,822,239
of 24,143,470 outputs
Outputs from Frontiers in Molecular Biosciences
#926
of 4,307 outputs
Outputs of similar age
#178,967
of 422,395 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#59
of 301 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,307 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 77% 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 422,395 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 301 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.