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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying biomarkers for tDCS treatment response in Alzheimer’s disease patients: a machine learning approach using resting-state EEG classification
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, October 2023
|
| DOI | 10.3389/fnhum.2023.1234168 |
| Pubmed ID | |
| Authors |
Suellen Marinho Andrade, Leandro da Silva-Sauer, Carolina Dias de Carvalho, Elidianne Layanne Medeiros de Araújo, Eloise de Oliveira Lima, Fernanda Maria Lima Fernandes, Karen Lúcia de Araújo Freitas Moreira, Maria Eduarda Camilo, Lisieux Marie Marinho dos Santos Andrade, Daniel Tezoni Borges, Edson Meneses da Silva Filho, Ana Raquel Lindquist, Rodrigo Pegado, Edgard Morya, Seidi Yonamine Yamauti, Nelson Torro Alves, Bernardino Fernández-Calvo, José Maurício Ramos de Souza Neto |
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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 7% |
| Other | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 9 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 14% |
| Unspecified | 1 | 7% |
| Neuroscience | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Unknown | 9 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 27 October 2023.
All research outputs
#3,608,454
of 24,694,993 outputs
Outputs from Frontiers in Human Neuroscience
#1,697
of 7,533 outputs
Outputs of similar age
#37,820
of 246,152 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#5
of 65 outputs
Altmetric has tracked 24,694,993 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,533 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 77% 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 246,152 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 65 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 93% of its contemporaries.