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Computational analysis to investigate the anti-rheumatic potential of plant-based small molecule inhibitor targeting tumor necrosis factor α

Overview of attention for article published in Frontiers in Pharmacology, February 2023
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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12 Mendeley
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Title
Computational analysis to investigate the anti-rheumatic potential of plant-based small molecule inhibitor targeting tumor necrosis factor α
Published in
Frontiers in Pharmacology, February 2023
DOI 10.3389/fphar.2023.1127201
Pubmed ID
Authors

Sanaya Rehman, Attya Bhatti, Peter John

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 8%
Student > Doctoral Student 1 8%
Professor 1 8%
Student > Ph. D. Student 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 7 58%
Readers by discipline Count As %
Arts and Humanities 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Medicine and Dentistry 1 8%
Chemistry 1 8%
Other 0 0%
Unknown 7 58%
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 07 February 2023.
All research outputs
#20,706,566
of 23,306,612 outputs
Outputs from Frontiers in Pharmacology
#10,539
of 16,749 outputs
Outputs of similar age
#262,234
of 336,430 outputs
Outputs of similar age from Frontiers in Pharmacology
#378
of 721 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,749 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% 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 336,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 721 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.