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Improving Small Molecule pK a Prediction Using Transfer Learning With Graph Neural Networks

Overview of attention for article published in Frontiers in Chemistry, May 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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1 X user

Citations

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15 Dimensions

Readers on

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42 Mendeley
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Title
Improving Small Molecule pK a Prediction Using Transfer Learning With Graph Neural Networks
Published in
Frontiers in Chemistry, May 2022
DOI 10.3389/fchem.2022.866585
Pubmed ID
Authors

Fritz Mayr, Marcus Wieder, Oliver Wieder, Thierry Langer

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 11 26%
Student > Bachelor 3 7%
Other 2 5%
Student > Doctoral Student 2 5%
Other 2 5%
Unknown 10 24%
Readers by discipline Count As %
Chemistry 11 26%
Biochemistry, Genetics and Molecular Biology 6 14%
Computer Science 6 14%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Engineering 2 5%
Other 3 7%
Unknown 11 26%
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 03 March 2023.
All research outputs
#18,945,879
of 23,477,147 outputs
Outputs from Frontiers in Chemistry
#2,279
of 6,163 outputs
Outputs of similar age
#314,306
of 441,903 outputs
Outputs of similar age from Frontiers in Chemistry
#108
of 423 outputs
Altmetric has tracked 23,477,147 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 6,163 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 51% 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 441,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 423 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 62% of its contemporaries.