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Mendeley readers
Attention Score in Context
| Title |
Multi-slice representational learning of convolutional neural network for Alzheimer’s disease classification using positron emission tomography
|
|---|---|
| Published in |
BioMedical Engineering OnLine, September 2020
|
| DOI | 10.1186/s12938-020-00813-z |
| Pubmed ID | |
| Authors |
Han Woong Kim, Ha Eun Lee, KyeongTaek Oh, Sangwon Lee, Mijin Yun, Sun K. Yoo |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Bachelor | 3 | 11% |
| Lecturer | 2 | 7% |
| Other | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 9 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 18% |
| Computer Science | 5 | 18% |
| Unspecified | 3 | 11% |
| Nursing and Health Professions | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 11 September 2020.
All research outputs
#4,273,993
of 23,237,082 outputs
Outputs from BioMedical Engineering OnLine
#99
of 830 outputs
Outputs of similar age
#104,338
of 400,228 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 11 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 830 research outputs from this source. They receive a mean Attention Score of 4.7. 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 400,228 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 72% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.