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Image Analysis and Processing – ICIAP 2023

Overview of attention for book
Attention for Chapter: A Deep Natural Language Inference Predictor Without Language-Specific Training Data
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Chapter title
A Deep Natural Language Inference Predictor Without Language-Specific Training Data
Book title
Lecture Notes in Computer Science
Published in
Lecture notes in computer science, September 2023
DOI 10.1007/978-3-031-43153-1_15
Book ISBNs
978-3-03-143152-4, 978-3-03-143153-1
Authors

Lorenzo Corradi, Alessandro Manenti, Francesca Del Bonifro, Francesco Setti, Dario Del Sorbo, Corradi, Lorenzo, Manenti, Alessandro, Del Bonifro, Francesca, Setti, Francesco, Del Sorbo, Dario

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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 07 September 2023.
All research outputs
#21,866,241
of 24,396,012 outputs
Outputs from Lecture notes in computer science
#7,019
of 8,156 outputs
Outputs of similar age
#136,953
of 167,576 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 3 outputs
Altmetric has tracked 24,396,012 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 8,156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 167,576 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 3 others from the same source and published within six weeks on either side of this one.