| Title |
Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia
|
|---|---|
| Published in |
Brain Informatics, October 2020
|
| DOI | 10.1186/s40708-020-00112-2 |
| Pubmed ID | |
| Authors |
Manan Binth Taj Noor, Nusrat Zerin Zenia, M Shamim Kaiser, Shamim Al Mamun, Mufti Mahmud |
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 % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 241 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 11% |
| Student > Master | 25 | 10% |
| Researcher | 16 | 7% |
| Student > Bachelor | 12 | 5% |
| Unspecified | 9 | 4% |
| Other | 38 | 16% |
| Unknown | 115 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 47 | 20% |
| Engineering | 21 | 9% |
| Neuroscience | 13 | 5% |
| Unspecified | 9 | 4% |
| Biochemistry, Genetics and Molecular Biology | 8 | 3% |
| Other | 20 | 8% |
| Unknown | 123 | 51% |
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 26 March 2021.
All research outputs
#14,509,667
of 23,248,929 outputs
Outputs from Brain Informatics
#58
of 106 outputs
Outputs of similar age
#228,447
of 415,916 outputs
Outputs of similar age from Brain Informatics
#5
of 7 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 106 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 415,916 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
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 2 of them.