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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep Learning With EEG Spectrograms in Rapid Eye Movement Behavior Disorder
|
---|---|
Published in |
Frontiers in Neurology, July 2019
|
DOI | 10.3389/fneur.2019.00806 |
Pubmed ID | |
Authors |
Giulio Ruffini, David Ibañez, Marta Castellano, Laura Dubreuil-Vall, Aureli Soria-Frisch, Ron Postuma, Jean-François Gagnon, Jacques Montplaisir |
X Demographics
The data shown below were collected from the profiles of 16 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 | 4 | 25% |
Canada | 2 | 13% |
Italy | 2 | 13% |
Spain | 2 | 13% |
Belgium | 1 | 6% |
Switzerland | 1 | 6% |
Australia | 1 | 6% |
France | 1 | 6% |
Unknown | 2 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 63% |
Scientists | 5 | 31% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 175 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 16% |
Student > Master | 26 | 15% |
Researcher | 22 | 13% |
Student > Bachelor | 17 | 10% |
Student > Doctoral Student | 11 | 6% |
Other | 29 | 17% |
Unknown | 42 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 33 | 19% |
Engineering | 26 | 15% |
Medicine and Dentistry | 15 | 9% |
Neuroscience | 15 | 9% |
Psychology | 10 | 6% |
Other | 25 | 14% |
Unknown | 51 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 06 September 2019.
All research outputs
#1,360,799
of 23,313,051 outputs
Outputs from Frontiers in Neurology
#456
of 12,235 outputs
Outputs of similar age
#30,881
of 346,719 outputs
Outputs of similar age from Frontiers in Neurology
#25
of 310 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,235 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 96% 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 346,719 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 310 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 92% of its contemporaries.