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Stress detection using deep neural networks

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2020
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Mentioned by

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1 X user

Citations

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73 Dimensions

Readers on

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208 Mendeley
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Title
Stress detection using deep neural networks
Published in
BMC Medical Informatics and Decision Making, December 2020
DOI 10.1186/s12911-020-01299-4
Pubmed ID
Authors

Russell Li, Zhandong Liu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 208 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 13%
Student > Ph. D. Student 23 11%
Researcher 19 9%
Student > Bachelor 8 4%
Lecturer 6 3%
Other 21 10%
Unknown 105 50%
Readers by discipline Count As %
Computer Science 36 17%
Engineering 25 12%
Medicine and Dentistry 9 4%
Psychology 7 3%
Neuroscience 5 2%
Other 16 8%
Unknown 110 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 31 December 2020.
All research outputs
#20,676,689
of 23,271,751 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,831
of 2,022 outputs
Outputs of similar age
#429,197
of 503,362 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#48
of 59 outputs
Altmetric has tracked 23,271,751 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 503,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.