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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, August 2022
|
| DOI | 10.3389/fninf.2022.901428 |
| Pubmed ID | |
| Authors |
Shruthi Suresh, David T. Newton, Thomas H. Everett, Guang Lin, Bradley S. Duerstock |
X Demographics
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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 8% |
| Researcher | 2 | 4% |
| Professor > Associate Professor | 2 | 4% |
| Student > Master | 2 | 4% |
| Student > Bachelor | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 35 | 70% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 8% |
| Unspecified | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Engineering | 2 | 4% |
| Medicine and Dentistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 37 | 74% |
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 23 August 2022.
All research outputs
#20,576,667
of 23,153,849 outputs
Outputs from Frontiers in Neuroinformatics
#688
of 759 outputs
Outputs of similar age
#343,507
of 433,303 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#19
of 24 outputs
Altmetric has tracked 23,153,849 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 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 433,303 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 24 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.