| Title |
A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research
|
|---|---|
| Published in |
Brain Informatics, November 2022
|
| DOI | 10.1186/s40708-022-00175-3 |
| Pubmed ID | |
| Authors |
Adam Byrne, Emma Bonfiglio, Colin Rigby, Nicky Edelstyn |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Spain | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 8% |
| Researcher | 7 | 8% |
| Student > Master | 4 | 4% |
| Student > Bachelor | 3 | 3% |
| Student > Postgraduate | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 59 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 6 | 7% |
| Computer Science | 5 | 5% |
| Nursing and Health Professions | 2 | 2% |
| Unspecified | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 10 | 11% |
| Unknown | 64 | 70% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 May 2023.
All research outputs
#3,829,835
of 23,804,991 outputs
Outputs from Brain Informatics
#19
of 108 outputs
Outputs of similar age
#73,327
of 437,384 outputs
Outputs of similar age from Brain Informatics
#2
of 5 outputs
Altmetric has tracked 23,804,991 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 108 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 83% 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 437,384 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 83% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.