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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spatial-frequency feature fusion based deepfake detection through knowledge distillation
|
|---|---|
| Published in |
Engineering Applications of Artificial Intelligence, July 2024
|
| DOI | 10.1016/j.engappai.2024.108341 |
| Authors |
Bo Wang, Xiaohan Wu, Fei Wang, Yushu Zhang, Fei Wei, Zengren Song |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 May 2024.
All research outputs
#17,628,251
of 25,838,141 outputs
Outputs from Engineering Applications of Artificial Intelligence
#475
of 816 outputs
Outputs of similar age
#3,663
of 6,840 outputs
Outputs of similar age from Engineering Applications of Artificial Intelligence
#10
of 34 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 816 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 23rd percentile – i.e., 23% 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 6,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.