Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis…
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Deep Grading Based on Collective Artificial Intelligence for AD Diagnosis and Prognosis
|
|---|---|
| Chapter number | 3 |
| Book title |
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data
|
| Published in |
arXiv, September 2021
|
| DOI | 10.1007/978-3-030-87444-5_3 |
| Book ISBNs |
978-3-03-087443-8, 978-3-03-087444-5
|
| Authors |
Nguyen, Huy-Dung, Clément, Michaël, Mansencal, Boris, Coupé, Pierrick, Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
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 % |
|---|---|---|
| Researcher | 2 | 40% |
| Unspecified | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Professor | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Nursing and Health Professions | 1 | 20% |
| Psychology | 1 | 20% |
| Neuroscience | 1 | 20% |
| Unknown | 1 | 20% |
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 30 October 2023.
All research outputs
#6,694,906
of 24,709,170 outputs
Outputs from arXiv
#130,603
of 1,001,127 outputs
Outputs of similar age
#125,668
of 425,384 outputs
Outputs of similar age from arXiv
#4,494
of 33,624 outputs
Altmetric has tracked 24,709,170 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,001,127 research outputs from this source. They receive a mean Attention Score of 4.1. 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 425,384 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 70% of its contemporaries.
We're also able to compare this research output to 33,624 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.