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In silico Prediction, Characterization, Molecular Docking, and Dynamic Studies on Fungal SDRs as Novel Targets for Searching Potential Fungicides Against Fusarium Wilt in Tomato

Overview of attention for article published in Frontiers in Pharmacology, October 2018
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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 (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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12 X users

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
231 Mendeley
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Title
In silico Prediction, Characterization, Molecular Docking, and Dynamic Studies on Fungal SDRs as Novel Targets for Searching Potential Fungicides Against Fusarium Wilt in Tomato
Published in
Frontiers in Pharmacology, October 2018
DOI 10.3389/fphar.2018.01038
Pubmed ID
Authors

Mohd Aamir, Vinay Kumar Singh, Manish Kumar Dubey, Mukesh Meena, Sarvesh Pratap Kashyap, Sudheer Kumar Katari, Ram Sanmukh Upadhyay, Amineni Umamaheswari, Surendra Singh

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 231 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 14%
Student > Master 27 12%
Student > Bachelor 27 12%
Researcher 21 9%
Student > Doctoral Student 10 4%
Other 26 11%
Unknown 88 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 21%
Agricultural and Biological Sciences 22 10%
Chemistry 15 6%
Immunology and Microbiology 9 4%
Medicine and Dentistry 9 4%
Other 30 13%
Unknown 97 42%
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 07 May 2023.
All research outputs
#5,013,770
of 24,226,848 outputs
Outputs from Frontiers in Pharmacology
#2,285
of 18,093 outputs
Outputs of similar age
#96,193
of 353,988 outputs
Outputs of similar age from Frontiers in Pharmacology
#65
of 426 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,093 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 87% 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 353,988 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 72% of its contemporaries.
We're also able to compare this research output to 426 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.