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Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study

Overview of attention for article published in Frontiers in Pharmacology, August 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study
Published in
Frontiers in Pharmacology, August 2023
DOI 10.3389/fphar.2023.1265573
Pubmed ID
Authors

Ratul Bhowmik, Ravi Kant, Ajay Manaithiya, Daman Saluja, Bharti Vyas, Ranajit Nath, Kamal A. Qureshi, Seppo Parkkila, Ashok Aspatwar

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.
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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 10%
Professor 2 10%
Professor > Associate Professor 2 10%
Student > Master 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 11 52%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Mathematics 1 5%
Computer Science 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 13 62%
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 26 September 2023.
All research outputs
#19,937,366
of 24,503,201 outputs
Outputs from Frontiers in Pharmacology
#9,445
of 18,517 outputs
Outputs of similar age
#175,649
of 251,904 outputs
Outputs of similar age from Frontiers in Pharmacology
#161
of 566 outputs
Altmetric has tracked 24,503,201 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 18,517 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 36th percentile – i.e., 36% 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 251,904 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 566 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.