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In silico Prediction of New Drug Candidates Against the Multidrug-Resistant and Potentially Zoonotic Fish Pathogen Serotype III Streptococcus agalactiae

Overview of attention for article published in Frontiers in Genetics, August 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
3 X users

Citations

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3 Dimensions

Readers on

mendeley
36 Mendeley
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Title
In silico Prediction of New Drug Candidates Against the Multidrug-Resistant and Potentially Zoonotic Fish Pathogen Serotype III Streptococcus agalactiae
Published in
Frontiers in Genetics, August 2020
DOI 10.3389/fgene.2020.01024
Pubmed ID
Authors

Leonardo Mantovani Favero, Roberta Torres Chideroli, Natália Amoroso Ferrari, Vasco Ariston De Carvalho Azevedo, Sandeep Tiwari, Nelson Mauricio Lopera-Barrero, Ulisses de Pádua Pereira

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 8%
Student > Master 3 8%
Student > Postgraduate 3 8%
Student > Ph. D. Student 3 8%
Student > Bachelor 2 6%
Other 4 11%
Unknown 18 50%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 3 8%
Agricultural and Biological Sciences 2 6%
Medicine and Dentistry 2 6%
Environmental Science 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 11%
Unknown 23 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 September 2020.
All research outputs
#15,094,298
of 23,232,430 outputs
Outputs from Frontiers in Genetics
#4,591
of 12,268 outputs
Outputs of similar age
#235,940
of 398,949 outputs
Outputs of similar age from Frontiers in Genetics
#171
of 442 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,268 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% 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 398,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 442 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.