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Robust Domain Misinformation Detection via Multi-Modal Feature Alignment

Overview of attention for article published in IEEE Transactions on Information Forensics and Security, October 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Robust Domain Misinformation Detection via Multi-Modal Feature Alignment
Published in
IEEE Transactions on Information Forensics and Security, October 2023
DOI 10.1109/tifs.2023.3326368
Authors

Hui Liu, Wenya Wang, Hao Sun, Anderson Rocha, Haoliang Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Unknown 4 80%
Readers by discipline Count As %
Computer Science 1 20%
Unknown 4 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 December 2023.
All research outputs
#15,184,741
of 25,394,764 outputs
Outputs from IEEE Transactions on Information Forensics and Security
#731
of 1,160 outputs
Outputs of similar age
#149,529
of 356,549 outputs
Outputs of similar age from IEEE Transactions on Information Forensics and Security
#1
of 13 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 36th percentile – i.e., 36% 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 356,549 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.