| Title |
3D-Deep Learning Based Automatic Diagnosis of Alzheimer’s Disease with Joint MMSE Prediction Using Resting-State fMRI
|
|---|---|
| Published in |
Neuroinformatics, May 2019
|
| DOI | 10.1007/s12021-019-09419-w |
| Pubmed ID | |
| Authors |
Nguyen Thanh Duc, Seungjun Ryu, Muhammad Naveed Iqbal Qureshi, Min Choi, Kun Ho Lee, Boreom Lee |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 151 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 15% |
| Student > Master | 15 | 10% |
| Researcher | 12 | 8% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 6 | 4% |
| Other | 21 | 14% |
| Unknown | 65 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 17% |
| Engineering | 17 | 11% |
| Neuroscience | 10 | 7% |
| Psychology | 7 | 5% |
| Medicine and Dentistry | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 79 | 52% |
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 03 September 2021.
All research outputs
#3,125,129
of 23,148,322 outputs
Outputs from Neuroinformatics
#46
of 407 outputs
Outputs of similar age
#67,999
of 351,625 outputs
Outputs of similar age from Neuroinformatics
#3
of 8 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. Compared to these this one has done well and is in the 86th 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 88% 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 351,625 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 80% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.