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Identification of Growth Inhibitors of the Fish Pathogen Saprolegnia parasitica Using in silico Subtractive Proteomics, Computational Modeling, and Biochemical Validation

Overview of attention for article published in Frontiers in Microbiology, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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5 X users
patent
1 patent

Citations

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7 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Identification of Growth Inhibitors of the Fish Pathogen Saprolegnia parasitica Using in silico Subtractive Proteomics, Computational Modeling, and Biochemical Validation
Published in
Frontiers in Microbiology, October 2020
DOI 10.3389/fmicb.2020.571093
Pubmed ID
Authors

Sanjiv Kumar, Rahul Shubhra Mandal, Vincent Bulone, Vaibhav Srivastava

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 13%
Student > Bachelor 4 10%
Other 3 8%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 3 8%
Unknown 19 49%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 15%
Biochemistry, Genetics and Molecular Biology 4 10%
Environmental Science 3 8%
Chemistry 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 10%
Unknown 18 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 August 2022.
All research outputs
#5,395,323
of 25,443,857 outputs
Outputs from Frontiers in Microbiology
#5,314
of 29,374 outputs
Outputs of similar age
#124,929
of 437,421 outputs
Outputs of similar age from Frontiers in Microbiology
#179
of 906 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,374 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 81% 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 437,421 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 71% of its contemporaries.
We're also able to compare this research output to 906 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.