| Title |
Clusters of male and female Alzheimer’s disease patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database
|
|---|---|
| Published in |
Brain Informatics, March 2016
|
| DOI | 10.1007/s40708-016-0035-5 |
| Pubmed ID | |
| Authors |
Dragan Gamberger, Bernard Ženko, Alexis Mitelpunkt, Netta Shachar, Nada Lavrač |
| Abstract |
This paper presents homogeneous clusters of patients, identified in the Alzheimer's Disease Neuroimaging Initiative (ADNI) data population of 317 females and 342 males, described by a total of 243 biological and clinical descriptors. Clustering was performed with a novel methodology, which supports identification of patient subpopulations that are homogeneous regarding both clinical and biological descriptors. Properties of the constructed clusters clearly demonstrate the differences between female and male Alzheimer's disease patient groups. The major difference is the existence of two male subpopulations with unexpected values of intracerebral and whole brain volumes. |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 6 | 15% |
| Student > Bachelor | 5 | 13% |
| Student > Master | 3 | 8% |
| Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 12 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 18% |
| Psychology | 5 | 13% |
| Neuroscience | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 13 | 33% |
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 19 August 2016.
All research outputs
#4,191,804
of 22,883,326 outputs
Outputs from Brain Informatics
#16
of 103 outputs
Outputs of similar age
#66,233
of 300,669 outputs
Outputs of similar age from Brain Informatics
#2
of 14 outputs
Altmetric has tracked 22,883,326 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 103 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 77% 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 300,669 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 76% of its contemporaries.
We're also able to compare this research output to 14 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.