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Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents

Overview of attention for article published in Natural Language Engineering, September 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 229)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
5 X users

Readers on

mendeley
58 Mendeley
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Article details
Title
Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents
Published in
Natural Language Engineering, September 2022
DOI 10.1017/s1351324922000341
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 6 10%
Student > Ph. D. Student 6 10%
Researcher 2 3%
Unspecified 1 2%
Lecturer > Senior Lecturer 1 2%
Other 3 5%
Unknown 39 67%
Readers by discipline
Readers by discipline Count As %
Computer Science 11 19%
Business, Management and Accounting 3 5%
Social Sciences 2 3%
Unspecified 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 3%
Unknown 38 66%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 27 September 2022.
All research outputs
#3,034,116
of 30,077,155 outputs
Outputs from Natural Language Engineering
#12
of 229 outputs
Outputs of similar age
#50,358
of 427,740 outputs
Outputs of similar age from Natural Language Engineering
#1
of 5 outputs
Altmetric has tracked 30,077,155 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 229 research outputs from this source. They receive a mean Attention Score of 4.2. 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 427,740 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them