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SE-OnionNet: A Convolution Neural Network for Protein–Ligand Binding Affinity Prediction

Overview of attention for article published in Frontiers in Genetics, February 2021
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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 (72nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
41 Mendeley
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Title
SE-OnionNet: A Convolution Neural Network for Protein–Ligand Binding Affinity Prediction
Published in
Frontiers in Genetics, February 2021
DOI 10.3389/fgene.2020.607824
Pubmed ID
Authors

Shudong Wang, Dayan Liu, Mao Ding, Zhenzhen Du, Yue Zhong, Tao Song, Jinfu Zhu, Renteng Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Student > Bachelor 4 10%
Student > Master 4 10%
Student > Ph. D. Student 4 10%
Other 2 5%
Other 3 7%
Unknown 18 44%
Readers by discipline Count As %
Computer Science 7 17%
Biochemistry, Genetics and Molecular Biology 6 15%
Chemistry 4 10%
Chemical Engineering 2 5%
Earth and Planetary Sciences 1 2%
Other 3 7%
Unknown 18 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 March 2021.
All research outputs
#13,739,054
of 23,292,144 outputs
Outputs from Frontiers in Genetics
#3,354
of 12,302 outputs
Outputs of similar age
#206,855
of 418,806 outputs
Outputs of similar age from Frontiers in Genetics
#137
of 547 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,302 research outputs from this source. They receive a mean Attention Score of 3.7. 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 418,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 547 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 72% of its contemporaries.