↓ Skip to main content

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
Altmetric Badge

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 (70th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Saesong, Allard, Queiroz, Marcourt, Nuengchamnong, Temkitthawon, Khorana, Wolfender, Ingkaninan

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 16%
Researcher 3 16%
Student > Bachelor 3 16%
Student > Master 2 11%
Student > Ph. D. Student 2 11%
Other 3 16%
Unknown 3 16%
Readers by discipline Count As %
Chemistry 5 26%
Biochemistry, Genetics and Molecular Biology 3 16%
Agricultural and Biological Sciences 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 6 32%

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
#4,139,647
of 17,067,437 outputs
Outputs from Molecules
#1,487
of 12,626 outputs
Outputs of similar age
#79,274
of 267,456 outputs
Outputs of similar age from Molecules
#24
of 173 outputs
Altmetric has tracked 17,067,437 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,626 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 88% 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 267,456 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 70% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.