| Title |
EEG-based mild depression recognition using convolutional neural network
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, February 2019
|
| DOI | 10.1007/s11517-019-01959-2 |
| Pubmed ID | |
| Authors |
Xiaowei Li, Rong La, Ying Wang, Junhong Niu, Shuai Zeng, Shuting Sun, Jing Zhu |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 124 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 9% |
| Student > Master | 9 | 7% |
| Student > Bachelor | 8 | 6% |
| Lecturer | 7 | 6% |
| Researcher | 6 | 5% |
| Other | 22 | 18% |
| Unknown | 61 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 14% |
| Engineering | 13 | 10% |
| Medicine and Dentistry | 6 | 5% |
| Unspecified | 5 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Other | 12 | 10% |
| Unknown | 68 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 31 March 2022.
All research outputs
#8,266,724
of 25,385,509 outputs
Outputs from Medical & Biological Engineering & Computing
#537
of 2,053 outputs
Outputs of similar age
#146,967
of 366,765 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#3
of 7 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 73% 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 366,765 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% 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 4 of them.