| Title |
Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer’s Disease
|
|---|---|
| Published in |
Neuroinformatics, October 2018
|
| DOI | 10.1007/s12021-018-9398-5 |
| Pubmed ID | |
| Authors |
Xiaoli Liu, Peng Cao, Jianzhong Wang, Jun Kong, Dazhe Zhao |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 15% |
| Student > Master | 6 | 13% |
| Researcher | 6 | 13% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 18 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 20% |
| Neuroscience | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Psychology | 3 | 7% |
| Social Sciences | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 18 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 22 August 2019.
All research outputs
#3,250,133
of 23,105,443 outputs
Outputs from Neuroinformatics
#48
of 407 outputs
Outputs of similar age
#69,101
of 344,304 outputs
Outputs of similar age from Neuroinformatics
#1
of 7 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 407 research outputs from this source. They receive a mean Attention Score of 4.5. 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 344,304 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 79% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them