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IoT in medical diagnosis: detecting excretory functional disorders for Older adults via bathroom activity change using unobtrusive IoT technology

Overview of attention for article published in Frontiers in Public Health, September 2023
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Mentioned by

twitter
1 X user

Readers on

mendeley
8 Mendeley
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Title
IoT in medical diagnosis: detecting excretory functional disorders for Older adults via bathroom activity change using unobtrusive IoT technology
Published in
Frontiers in Public Health, September 2023
DOI 10.3389/fpubh.2023.1161943
Pubmed ID
Authors

Bessam Abdulrazak, Hassan Mostafa Ahmed, Hamdi Aloulou, Mounir Mokhtari, F. Guillaume Blanchet

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 13%
Other 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline Count As %
Unspecified 1 13%
Nursing and Health Professions 1 13%
Medicine and Dentistry 1 13%
Engineering 1 13%
Unknown 4 50%
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 02 October 2023.
All research outputs
#21,996,827
of 24,541,341 outputs
Outputs from Frontiers in Public Health
#9,075
of 12,725 outputs
Outputs of similar age
#138,180
of 170,903 outputs
Outputs of similar age from Frontiers in Public Health
#162
of 393 outputs
Altmetric has tracked 24,541,341 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 12,725 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 170,903 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 393 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.