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Discovery of Lipid Peroxidation Inhibitors from Bacopa Species Prioritized through Multivariate Data Analysis and Multi-Informative Molecular Networking

Overview of attention for article published in Molecules, August 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Discovery of Lipid Peroxidation Inhibitors from Bacopa Species Prioritized through Multivariate Data Analysis and Multi-Informative Molecular Networking
Published in
Molecules, August 2019
DOI 10.3390/molecules24162989
Pubmed ID
Authors

Tongchai Saesong, Pierre-Marie Allard, Emerson Ferreira Queiroz, Laurence Marcourt, Nitra Nuengchamnong, Prapapan Temkitthawon, Nantaka Khorana, Jean-Luc Wolfender, Kornkanok Ingkaninan

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 17%
Student > Bachelor 3 13%
Researcher 3 13%
Student > Ph. D. Student 3 13%
Student > Master 2 8%
Other 3 13%
Unknown 6 25%
Readers by discipline Count As %
Chemistry 6 25%
Biochemistry, Genetics and Molecular Biology 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Medicine and Dentistry 2 8%
Agricultural and Biological Sciences 2 8%
Other 0 0%
Unknown 9 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 August 2019.
All research outputs
#6,417,298
of 25,002,811 outputs
Outputs from Molecules
#3,405
of 23,432 outputs
Outputs of similar age
#104,637
of 349,336 outputs
Outputs of similar age from Molecules
#143
of 739 outputs
Altmetric has tracked 25,002,811 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 23,432 research outputs from this source. They receive a mean Attention Score of 5.0. 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 349,336 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 69% of its contemporaries.
We're also able to compare this research output to 739 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.