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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of deep learning‐based approaches for deepfake content detection
|
|---|---|
| Published in |
Expert Systems, February 2024
|
| DOI | 10.1111/exsy.13570 |
| Authors |
Leandro A. Passos, Danilo Jodas, Kelton A. P. Costa, Luis A. Souza Júnior, Douglas Rodrigues, Javier Del Ser, David Camacho, João Paulo Papa |
X Demographics
The data shown below were collected from the profiles of 7 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 | 14% |
| Netherlands | 1 | 14% |
| Japan | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 7% |
| Student > Ph. D. Student | 5 | 6% |
| Lecturer | 4 | 5% |
| Other | 4 | 5% |
| Student > Doctoral Student | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 54 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 25% |
| Engineering | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Energy | 1 | 1% |
| Mathematics | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 54 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 March 2024.
All research outputs
#14,412,162
of 25,413,176 outputs
Outputs from Expert Systems
#83
of 220 outputs
Outputs of similar age
#65,674
of 189,828 outputs
Outputs of similar age from Expert Systems
#2
of 5 outputs
Altmetric has tracked 25,413,176 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 220 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 62% 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 189,828 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 65% 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 3 of them.