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Protein Docking Model Evaluation by Graph Neural Networks

Overview of attention for article published in Frontiers in Molecular Biosciences, May 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 4,859)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
105 X users

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Protein Docking Model Evaluation by Graph Neural Networks
Published in
Frontiers in Molecular Biosciences, May 2021
DOI 10.3389/fmolb.2021.647915
Pubmed ID
Authors

Xiao Wang, Sean T. Flannery, Daisuke Kihara

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 105 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 6 10%
Student > Bachelor 4 6%
Student > Postgraduate 3 5%
Student > Doctoral Student 2 3%
Other 6 10%
Unknown 28 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 16%
Computer Science 7 11%
Chemistry 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Agricultural and Biological Sciences 1 2%
Other 3 5%
Unknown 32 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 02 July 2021.
All research outputs
#798,715
of 26,526,880 outputs
Outputs from Frontiers in Molecular Biosciences
#32
of 4,859 outputs
Outputs of similar age
#21,057
of 465,554 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#3
of 467 outputs
Altmetric has tracked 26,526,880 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,859 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 99% 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 465,554 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 467 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.