You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-dimensional conditional mutual information with application on the EEG signal analysis for spatial cognitive ability evaluation
|
|---|---|
| Published in |
Neural Networks, December 2021
|
| DOI | 10.1016/j.neunet.2021.12.010 |
| Pubmed ID | |
| Authors |
Dong Wen, Rou Li, Mengmeng Jiang, Jingjing Li, Yijun Liu, Xianling Dong, M Iqbal Saripan, Haiqing Song, Wei Han, Yanhong Zhou |
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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 23% |
| Student > Ph. D. Student | 3 | 14% |
| Lecturer | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 18% |
| Computer Science | 2 | 9% |
| Psychology | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 10 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 January 2022.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Neural Networks
#1,428
of 1,792 outputs
Outputs of similar age
#438,977
of 514,542 outputs
Outputs of similar age from Neural Networks
#23
of 72 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,792 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 514,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.