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Drug side effects prediction via cross attention learning and feature aggregation

Overview of attention for article published in Expert Systems with Applications, August 2024
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Title
Drug side effects prediction via cross attention learning and feature aggregation
Published in
Expert Systems with Applications, August 2024
DOI 10.1016/j.eswa.2024.123346
Authors

Zixiao Jin, Minhui Wang, Xiao Zheng, Jiajia Chen, Chang Tang

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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 01 February 2024.
All research outputs
#22,777,327
of 25,394,764 outputs
Outputs from Expert Systems with Applications
#3,054
of 4,227 outputs
Outputs of similar age
#992
of 1,077 outputs
Outputs of similar age from Expert Systems with Applications
#26
of 95 outputs
Altmetric has tracked 25,394,764 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 4,227 research outputs from this source. They receive a mean Attention Score of 2.6. 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 1,077 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 95 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.