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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease Using QEEG Features and Genetic Algorithm Heuristic
|
---|---|
Published in |
Frontiers in Computational Neuroscience, November 2021
|
DOI | 10.3389/fncom.2021.755499 |
Pubmed ID | |
Authors |
Nam Heon Kim, Dong Won Yang, Seong Hye Choi, Seung Wan Kang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Arab Emirates | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 4 | 11% |
Student > Bachelor | 4 | 11% |
Professor | 3 | 8% |
Other | 2 | 5% |
Lecturer > Senior Lecturer | 2 | 5% |
Other | 5 | 14% |
Unknown | 17 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 4 | 11% |
Psychology | 3 | 8% |
Medicine and Dentistry | 3 | 8% |
Computer Science | 3 | 8% |
Engineering | 2 | 5% |
Other | 6 | 16% |
Unknown | 16 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 11 December 2021.
All research outputs
#2,856,713
of 22,668,244 outputs
Outputs from Frontiers in Computational Neuroscience
#131
of 1,335 outputs
Outputs of similar age
#65,992
of 431,934 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 32 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,335 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 89% 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 431,934 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.