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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brain activity and medical diagnosis: an EEG study
|
|---|---|
| Published in |
BMC Neuroscience, October 2013
|
| DOI | 10.1186/1471-2202-14-109 |
| Pubmed ID | |
| Authors |
Laila Massad Ribas, Fábio Theoto Rocha, Neli Regina Siqueira Ortega, Armando Freitas da Rocha, Eduardo Massad |
| Abstract |
Despite new brain imaging techniques that have improved the study of the underlying processes of human decision-making, to the best of our knowledge, there have been very few studies that have attempted to investigate brain activity during medical diagnostic processing. We investigated brain electroencephalography (EEG) activity associated with diagnostic decision-making in the realm of veterinary medicine using X-rays as a fundamental auxiliary test. EEG signals were analysed using Principal Components (PCA) and Logistic Regression Analysis |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 2 | 17% |
| United States | 1 | 8% |
| Brazil | 1 | 8% |
| Serbia | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 22% |
| Student > Bachelor | 5 | 12% |
| Professor | 3 | 7% |
| Researcher | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 9 | 22% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 15% |
| Engineering | 5 | 12% |
| Computer Science | 5 | 12% |
| Psychology | 5 | 12% |
| Economics, Econometrics and Finance | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 11 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 03 October 2013.
All research outputs
#4,401,272
of 23,881,329 outputs
Outputs from BMC Neuroscience
#199
of 1,265 outputs
Outputs of similar age
#39,227
of 209,974 outputs
Outputs of similar age from BMC Neuroscience
#6
of 50 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,265 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 84% 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 209,974 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 81% of its contemporaries.
We're also able to compare this research output to 50 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.