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X Demographics
Mendeley readers
Attention Score in Context
| 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
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 8% |
| South Africa | 1 | 8% |
| Brazil | 1 | 8% |
| Canada | 1 | 8% |
| Netherlands | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Scientists | 2 | 17% |
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 % |
|---|---|---|
| Unspecified | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Student > Doctoral Student | 2 | 18% |
| Student > Master | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 36% |
| Unspecified | 2 | 18% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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
#4,648,670
of 25,836,587 outputs
Outputs from Expert Systems with Applications
#236
of 4,333 outputs
Outputs of similar age
#169
of 1,472 outputs
Outputs of similar age from Expert Systems with Applications
#3
of 96 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,333 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 94% 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 1,472 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 88% of its contemporaries.
We're also able to compare this research output to 96 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 96% of its contemporaries.