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SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction

Overview of attention for article published in BMC Genomics, June 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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29 Dimensions

Readers on

mendeley
25 Mendeley
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Title
SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction
Published in
BMC Genomics, June 2022
DOI 10.1186/s12864-022-08687-2
Pubmed ID
Authors

Xue Li, Peifu Han, Gan Wang, Wenqi Chen, Shuang Wang, Tao Song

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Researcher 3 12%
Student > Bachelor 2 8%
Unspecified 1 4%
Student > Doctoral Student 1 4%
Other 0 0%
Unknown 13 52%
Readers by discipline Count As %
Computer Science 5 20%
Medicine and Dentistry 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 1 4%
Unknown 14 56%
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 24 July 2022.
All research outputs
#15,440,760
of 22,950,943 outputs
Outputs from BMC Genomics
#6,716
of 10,681 outputs
Outputs of similar age
#242,189
of 439,714 outputs
Outputs of similar age from BMC Genomics
#89
of 163 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,681 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 439,714 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.