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Revisiting methotrexate and phototrexate Zinc15 library-based derivatives using deep learning in-silico drug design approach

Overview of attention for article published in Frontiers in Chemistry, March 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Revisiting methotrexate and phototrexate Zinc15 library-based derivatives using deep learning in-silico drug design approach
Published in
Frontiers in Chemistry, March 2024
DOI 10.3389/fchem.2024.1380266
Pubmed ID
Authors

Farhan Siddique, Ahmar Anwaar, Maryam Bashir, Sumaira Nadeem, Ravi Rawat, Volkan Eyupoglu, Samina Afzal, Mehvish Bibi, Yousef A. Bin Jardan, Mohammed Bourhia

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unspecified 1 50%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 50%
Unspecified 1 50%
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 22 March 2024.
All research outputs
#17,872,783
of 26,179,695 outputs
Outputs from Frontiers in Chemistry
#1,848
of 6,860 outputs
Outputs of similar age
#184,458
of 346,584 outputs
Outputs of similar age from Frontiers in Chemistry
#26
of 118 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,860 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 70% 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 346,584 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 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 71% of its contemporaries.