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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation of ‘Somnivore’, a Machine Learning Algorithm for Automated Scoring and Analysis of Polysomnography Data
|
|---|---|
| Published in |
Frontiers in Neuroscience, March 2019
|
| DOI | 10.3389/fnins.2019.00207 |
| Pubmed ID | |
| Authors |
Giancarlo Allocca, Sherie Ma, Davide Martelli, Matteo Cerri, Flavia Del Vecchio, Stefano Bastianini, Giovanna Zoccoli, Roberto Amici, Stephen R. Morairty, Anne E. Aulsebrook, Shaun Blackburn, John A. Lesku, Niels C. Rattenborg, Alexei L. Vyssotski, Emma Wams, Kate Porcheret, Katharina Wulff, Russell Foster, Julia K. M. Chan, Christian L. Nicholas, Dean R. Freestone, Leigh A. Johnston, Andrew L. Gundlach |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 33% |
| United Arab Emirates | 1 | 11% |
| Brazil | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 19% |
| Researcher | 14 | 18% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Other | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 26 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 19 | 24% |
| Computer Science | 7 | 9% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Agricultural and Biological Sciences | 5 | 6% |
| Social Sciences | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 27 | 34% |
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 28 August 2020.
All research outputs
#7,782,070
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#4,932
of 11,543 outputs
Outputs of similar age
#141,504
of 378,995 outputs
Outputs of similar age from Frontiers in Neuroscience
#135
of 356 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 69th percentile.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 56% 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 378,995 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 62% of its contemporaries.
We're also able to compare this research output to 356 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.