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DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method

Overview of attention for article published in Frontiers in Genetics, June 2022
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1 X user

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14 Mendeley
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Title
DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method
Published in
Frontiers in Genetics, June 2022
DOI 10.3389/fgene.2022.859188
Pubmed ID
Authors

Jie Zheng, Xuan Xiao, Wang-Ren Qiu

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Ph. D. Student 4 29%
Other 2 14%
Student > Bachelor 1 7%
Professor 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 5 36%
Agricultural and Biological Sciences 2 14%
Environmental Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Immunology and Microbiology 1 7%
Other 2 14%
Unknown 2 14%
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 09 June 2022.
All research outputs
#20,742,744
of 23,344,526 outputs
Outputs from Frontiers in Genetics
#8,929
of 12,363 outputs
Outputs of similar age
#359,802
of 446,429 outputs
Outputs of similar age from Frontiers in Genetics
#596
of 974 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,363 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 446,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 974 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.