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Multi-layered deep learning perceptron approach for health risk prediction

Overview of attention for article published in Journal of Big Data, July 2020
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Mentioned by

twitter
1 X user

Citations

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37 Dimensions

Readers on

mendeley
75 Mendeley
Title
Multi-layered deep learning perceptron approach for health risk prediction
Published in
Journal of Big Data, July 2020
DOI 10.1186/s40537-020-00316-7
Authors

Thulasi Bikku

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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 12%
Student > Bachelor 7 9%
Student > Ph. D. Student 6 8%
Researcher 5 7%
Other 4 5%
Other 8 11%
Unknown 36 48%
Readers by discipline Count As %
Computer Science 16 21%
Engineering 7 9%
Biochemistry, Genetics and Molecular Biology 3 4%
Business, Management and Accounting 2 3%
Medicine and Dentistry 2 3%
Other 5 7%
Unknown 40 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 28 July 2020.
All research outputs
#20,742,744
of 23,344,526 outputs
Outputs from Journal of Big Data
#337
of 353 outputs
Outputs of similar age
#343,141
of 400,367 outputs
Outputs of similar age from Journal of Big Data
#21
of 21 outputs
Altmetric has tracked 23,344,526 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 353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. 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 400,367 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 21 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.