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Combined Machine Learning and GRID-Independent Molecular Descriptor (GRIND) Models to Probe the Activity Profiles of 5-Lipoxygenase Activating Protein Inhibitors

Overview of attention for article published in Frontiers in Pharmacology, March 2022
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  • Average Attention Score compared to outputs of the same age and source

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2 X users

Citations

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3 Dimensions

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5 Mendeley
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Title
Combined Machine Learning and GRID-Independent Molecular Descriptor (GRIND) Models to Probe the Activity Profiles of 5-Lipoxygenase Activating Protein Inhibitors
Published in
Frontiers in Pharmacology, March 2022
DOI 10.3389/fphar.2022.825741
Pubmed ID
Authors

Hafiza Aliza Khan, Ishrat Jabeen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Other 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Business, Management and Accounting 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 March 2022.
All research outputs
#18,741,020
of 23,230,825 outputs
Outputs from Frontiers in Pharmacology
#8,539
of 16,658 outputs
Outputs of similar age
#318,267
of 441,311 outputs
Outputs of similar age from Frontiers in Pharmacology
#632
of 1,286 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,658 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 441,311 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,286 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.