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Real-time tracking and detection of patient conditions in the intelligent m-Health monitoring system

Overview of attention for article published in Frontiers in Public Health, October 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Real-time tracking and detection of patient conditions in the intelligent m-Health monitoring system
Published in
Frontiers in Public Health, October 2022
DOI 10.3389/fpubh.2022.922718
Pubmed ID
Authors

Xiaoyan Li, Kangwon You

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 12%
Other 2 8%
Student > Master 2 8%
Student > Doctoral Student 2 8%
Lecturer 1 4%
Other 2 8%
Unknown 13 52%
Readers by discipline Count As %
Unspecified 3 12%
Engineering 3 12%
Medicine and Dentistry 2 8%
Nursing and Health Professions 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 8%
Unknown 13 52%
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 14 November 2022.
All research outputs
#20,833,331
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#7,507
of 14,996 outputs
Outputs of similar age
#311,975
of 446,372 outputs
Outputs of similar age from Frontiers in Public Health
#665
of 1,460 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,996 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 43rd percentile – i.e., 43% 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 446,372 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,460 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.