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Editorial: Wearable and mobile data analysis methodologies for personalized medicine

Overview of attention for article published in Frontiers in Digital Health, September 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Editorial: Wearable and mobile data analysis methodologies for personalized medicine
Published in
Frontiers in Digital Health, September 2023
DOI 10.3389/fdgth.2023.1271659
Pubmed ID
Authors

Ivan Miguel Pires, Ciprian Dobre, Eftim Zdravevski, Nuno M. Garcia

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Psychology 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 September 2023.
All research outputs
#16,086,041
of 24,476,221 outputs
Outputs from Frontiers in Digital Health
#476
of 712 outputs
Outputs of similar age
#76,888
of 155,718 outputs
Outputs of similar age from Frontiers in Digital Health
#5
of 29 outputs
Altmetric has tracked 24,476,221 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 712 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 28th percentile – i.e., 28% 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 155,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.