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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Towards Subject and Diagnostic Identifiability in the Alzheimer’s Disease Spectrum Based on Functional Connectomes
|
|---|---|
| Chapter number | 8 |
| Book title |
Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-030-00689-1_8 |
| Book ISBNs |
978-3-03-000688-4, 978-3-03-000689-1
|
| Authors |
Diana O. Svaldi, Joaquín Goñi, Apoorva Bharthur Sanjay, Enrico Amico, Shannon L. Risacher, John D. West, Mario Dzemidzic, Andrew Saykin, Liana Apostolova, Svaldi, Diana O., Goñi, Joaquín, Bharthur Sanjay, Apoorva, Amico, Enrico, Risacher, Shannon L., West, John D., Dzemidzic, Mario, Saykin, Andrew, Apostolova, Liana |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
| Belgium | 2 | 15% |
| United Kingdom | 1 | 8% |
| France | 1 | 8% |
| Italy | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 11% |
| Lecturer | 1 | 11% |
| Professor | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Master | 1 | 11% |
| Other | 2 | 22% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 2 | 22% |
| Computer Science | 2 | 22% |
| Medicine and Dentistry | 1 | 11% |
| Neuroscience | 1 | 11% |
| Engineering | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 01 October 2018.
All research outputs
#4,395,599
of 25,826,146 outputs
Outputs from arXiv
#73,067
of 948,105 outputs
Outputs of similar age
#76,254
of 336,349 outputs
Outputs of similar age from arXiv
#1,730
of 19,230 outputs
Altmetric has tracked 25,826,146 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 948,105 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 92% 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 336,349 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 19,230 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.