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A novel method for drug-target interaction prediction based on graph transformers model

Overview of attention for article published in BMC Bioinformatics, November 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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15 Dimensions

Readers on

mendeley
17 Mendeley
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Title
A novel method for drug-target interaction prediction based on graph transformers model
Published in
BMC Bioinformatics, November 2022
DOI 10.1186/s12859-022-04812-w
Pubmed ID
Authors

Hongmei Wang, Fang Guo, Mengyan Du, Guishen Wang, Chen Cao

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 1 6%
Unknown 12 71%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 12%
Computer Science 1 6%
Immunology and Microbiology 1 6%
Engineering 1 6%
Unknown 12 71%
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 05 November 2022.
All research outputs
#18,429,416
of 23,668,780 outputs
Outputs from BMC Bioinformatics
#6,100
of 7,419 outputs
Outputs of similar age
#291,868
of 446,058 outputs
Outputs of similar age from BMC Bioinformatics
#166
of 170 outputs
Altmetric has tracked 23,668,780 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 7,419 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 12th percentile – i.e., 12% 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 446,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.