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A deep learning approach for pressure ulcer prevention using wearable computing

Overview of attention for article published in Human-centric Computing and Information Sciences, February 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
126 Mendeley
Title
A deep learning approach for pressure ulcer prevention using wearable computing
Published in
Human-centric Computing and Information Sciences, February 2020
DOI 10.1186/s13673-020-0211-8
Authors

Giovanni Cicceri, Fabrizio De Vita, Dario Bruneo, Giovanni Merlino, Antonio Puliafito

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

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 26 21%
Student > Master 24 19%
Researcher 10 8%
Student > Ph. D. Student 10 8%
Student > Bachelor 8 6%
Other 7 6%
Unknown 41 33%
Readers by discipline Count As %
Computer Science 45 36%
Engineering 13 10%
Medicine and Dentistry 8 6%
Nursing and Health Professions 5 4%
Business, Management and Accounting 4 3%
Other 8 6%
Unknown 43 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 April 2023.
All research outputs
#7,001,890
of 24,378,498 outputs
Outputs from Human-centric Computing and Information Sciences
#25
of 78 outputs
Outputs of similar age
#143,921
of 458,150 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#4
of 4 outputs
Altmetric has tracked 24,378,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 78 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 69% 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 458,150 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.