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 |
Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG Signals
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, September 2020
|
| DOI | 10.3389/fnhum.2020.00365 |
| Pubmed ID | |
| Authors |
Hongyi Zhang, Francisco H. S. Silva, Elene F. Ohata, Aldisio G. Medeiros, Pedro P. Rebouças Filho |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Lecturer | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 2 | 6% |
| Other | 8 | 22% |
| Unknown | 15 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 22% |
| Computer Science | 6 | 17% |
| Medicine and Dentistry | 2 | 6% |
| Psychology | 2 | 6% |
| Environmental Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 15 | 42% |
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 01 October 2020.
All research outputs
#20,742,895
of 23,342,092 outputs
Outputs from Frontiers in Human Neuroscience
#6,628
of 7,271 outputs
Outputs of similar age
#350,323
of 408,774 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#126
of 139 outputs
Altmetric has tracked 23,342,092 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 7,271 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 408,774 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 139 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.