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Graph Neural Networks as a Potential Tool in Improving Virtual Screening Programs

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

  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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3 X users

Citations

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7 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Graph Neural Networks as a Potential Tool in Improving Virtual Screening Programs
Published in
Frontiers in Chemistry, January 2022
DOI 10.3389/fchem.2021.787194
Pubmed ID
Authors

Luiz Anastacio Alves, Natiele Carla da Silva Ferreira, Victor Maricato, Anael Viana Pinto Alberto, Evellyn Araujo Dias, Nt Jose Aguiar Coelho

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 18%
Student > Ph. D. Student 4 14%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Other 1 4%
Other 3 11%
Unknown 10 36%
Readers by discipline Count As %
Computer Science 6 21%
Biochemistry, Genetics and Molecular Biology 2 7%
Medicine and Dentistry 2 7%
Agricultural and Biological Sciences 1 4%
Psychology 1 4%
Other 5 18%
Unknown 11 39%
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 20 January 2022.
All research outputs
#17,873,766
of 22,950,943 outputs
Outputs from Frontiers in Chemistry
#1,737
of 5,985 outputs
Outputs of similar age
#340,386
of 499,443 outputs
Outputs of similar age from Frontiers in Chemistry
#120
of 392 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,985 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 62% 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 499,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 392 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 65% of its contemporaries.