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Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy Study

Overview of attention for article published in Frontiers in Human Neuroscience, January 2021
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2 X users

Citations

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Readers on

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38 Mendeley
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Title
Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy Study
Published in
Frontiers in Human Neuroscience, January 2021
DOI 10.3389/fnhum.2020.597864
Pubmed ID
Authors

Kunqiang Qing, Ruisen Huang, Keum-Shik Hong

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 13%
Other 3 8%
Student > Doctoral Student 3 8%
Researcher 3 8%
Student > Bachelor 2 5%
Other 3 8%
Unknown 19 50%
Readers by discipline Count As %
Business, Management and Accounting 5 13%
Neuroscience 4 11%
Social Sciences 2 5%
Psychology 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 11%
Unknown 20 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 January 2021.
All research outputs
#18,116,235
of 23,271,751 outputs
Outputs from Frontiers in Human Neuroscience
#5,771
of 7,256 outputs
Outputs of similar age
#356,395
of 503,379 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#141
of 162 outputs
Altmetric has tracked 23,271,751 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,256 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 503,379 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.