↓ Skip to main content

ColBERT: Using BERT sentence embedding in parallel neural networks for computational humor

Overview of attention for article published in Expert Systems with Applications, September 2024
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
13 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
ColBERT: Using BERT sentence embedding in parallel neural networks for computational humor
Published in
Expert Systems with Applications, September 2024
DOI 10.1016/j.eswa.2024.123685
Authors

Issa Annamoradnejad, Gohar Zoghi

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Student > Doctoral Student 2 18%
Unspecified 1 9%
Student > Master 1 9%
Unknown 5 45%
Readers by discipline Count As %
Computer Science 4 36%
Unspecified 1 9%
Unknown 6 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 2022.
All research outputs
#4,142,684
of 25,564,614 outputs
Outputs from Expert Systems with Applications
#193
of 4,270 outputs
Outputs of similar age
#101
of 746 outputs
Outputs of similar age from Expert Systems with Applications
#1
of 63 outputs
Altmetric has tracked 25,564,614 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,270 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 95% of its peers.
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 746 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.