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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, October 2018
|
| DOI | 10.3389/fninf.2018.00076 |
| Pubmed ID | |
| Authors |
Saúl J. Ruiz-Gómez, Carlos Gómez, Jesús Poza, Mario Martínez-Zarzuela, Miguel A. Tola-Arribas, Mónica Cano, Roberto Hornero |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 23% |
| Student > Bachelor | 8 | 11% |
| Researcher | 4 | 6% |
| Student > Master | 4 | 6% |
| Professor > Associate Professor | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 25 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 17% |
| Medicine and Dentistry | 10 | 14% |
| Neuroscience | 8 | 11% |
| Computer Science | 5 | 7% |
| Psychology | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 27 | 38% |
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 23 November 2018.
All research outputs
#2,848,978
of 23,112,054 outputs
Outputs from Frontiers in Neuroinformatics
#140
of 758 outputs
Outputs of similar age
#61,657
of 351,039 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#6
of 30 outputs
Altmetric has tracked 23,112,054 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 758 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 81% 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 351,039 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 82% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.