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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Universal adversarial attacks on deep neural networks for medical image classification
|
|---|---|
| Published in |
BMC Medical Imaging, January 2021
|
| DOI | 10.1186/s12880-020-00530-y |
| Pubmed ID | |
| Authors |
Hokuto Hirano, Akinori Minagi, Kazuhiro Takemoto |
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 | 3 | 43% |
| Japan | 2 | 29% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Science communicators (journalists, bloggers, editors) | 2 | 29% |
| Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 22% |
| Researcher | 11 | 12% |
| Student > Ph. D. Student | 8 | 9% |
| Lecturer | 3 | 3% |
| Student > Bachelor | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 37 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 27% |
| Engineering | 11 | 12% |
| Medicine and Dentistry | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 41 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 March 2021.
All research outputs
#7,412,236
of 25,837,817 outputs
Outputs from BMC Medical Imaging
#89
of 668 outputs
Outputs of similar age
#173,815
of 530,308 outputs
Outputs of similar age from BMC Medical Imaging
#4
of 19 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 668 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 86% 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 530,308 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 66% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.