You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Prediction of the Progression of Subcortical Brain Structures in Alzheimer’s Disease from Baseline
|
|---|---|
| Chapter number | 10 |
| Book title |
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics
|
| Published in |
arXiv, September 2017
|
| DOI | 10.1007/978-3-319-67675-3_10 |
| Book ISBNs |
978-3-31-967674-6, 978-3-31-967675-3
|
| Authors |
Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman, the Alzheimer’s Disease Neuroimaging Initiative, the Alzheimer’s Disease Neuroimaging Initiative |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 30% |
| Student > Master | 3 | 30% |
| Student > Doctoral Student | 2 | 20% |
| Student > Ph. D. Student | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 40% |
| Computer Science | 3 | 30% |
| Environmental Science | 1 | 10% |
| Mathematics | 1 | 10% |
| Unknown | 1 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 November 2017.
All research outputs
#15,751,441
of 24,002,307 outputs
Outputs from arXiv
#351,916
of 1,011,770 outputs
Outputs of similar age
#191,810
of 319,219 outputs
Outputs of similar age from arXiv
#8,778
of 20,609 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% 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 319,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20,609 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.