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A smart IoMT based architecture for E-healthcare patient monitoring system using artificial intelligence algorithms

Overview of attention for article published in Frontiers in Physiology, January 2023
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Title
A smart IoMT based architecture for E-healthcare patient monitoring system using artificial intelligence algorithms
Published in
Frontiers in Physiology, January 2023
DOI 10.3389/fphys.2023.1125952
Pubmed ID
Authors

A Ahila, Fadl Dahan, Roobaea Alroobaea, Wael. Y. Alghamdi, Mustafa Khaja Mohammed, Fahima Hajjej, Deema mohammed alsekait, Kaamran Raahemifar

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

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 9%
Lecturer 3 6%
Lecturer > Senior Lecturer 2 4%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 6 11%
Unknown 33 62%
Readers by discipline Count As %
Computer Science 10 19%
Engineering 3 6%
Biochemistry, Genetics and Molecular Biology 1 2%
Nursing and Health Professions 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 8%
Unknown 33 62%
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 16 February 2023.
All research outputs
#18,860,161
of 23,372,207 outputs
Outputs from Frontiers in Physiology
#8,442
of 14,101 outputs
Outputs of similar age
#270,599
of 401,390 outputs
Outputs of similar age from Frontiers in Physiology
#268
of 575 outputs
Altmetric has tracked 23,372,207 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,101 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 31st percentile – i.e., 31% 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 401,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 575 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.