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Combating Online Hostile Posts in Regional Languages during Emergency Situation

Overview of attention for book
Combating Online Hostile Posts in Regional Languages during Emergency Situation
Springer International Publishing
Attention for Chapter 12: g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
61 Mendeley
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Chapter title
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
Chapter number 12
Book title
Combating Online Hostile Posts in Regional Languages during Emergency Situation
Published in
Communications in Computer and Information Science, April 2021
DOI 10.1007/978-3-030-73696-5_12
Book ISBNs
978-3-03-073695-8, 978-3-03-073696-5
Authors

Anna Glazkova, Maksim Glazkov, Timofey Trifonov, Glazkova, Anna, Glazkov, Maksim, Trifonov, Timofey

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Bachelor 5 8%
Lecturer 4 7%
Student > Ph. D. Student 4 7%
Researcher 3 5%
Other 9 15%
Unknown 26 43%
Readers by discipline Count As %
Computer Science 18 30%
Social Sciences 4 7%
Engineering 3 5%
Medicine and Dentistry 2 3%
Unspecified 1 2%
Other 4 7%
Unknown 29 48%
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 02 September 2024.
All research outputs
#4,035,308
of 26,561,175 outputs
Outputs from Communications in Computer and Information Science
#57
of 786 outputs
Outputs of similar age
#98,635
of 461,772 outputs
Outputs of similar age from Communications in Computer and Information Science
#1
of 6 outputs
Altmetric has tracked 26,561,175 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 786 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% 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 461,772 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 78% of its contemporaries.
We're also able to compare this research output to 6 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