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Heart rate estimation from ballistocardiogram signals processing via low-cost telemedicine architectures: a comparative performance evaluation

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

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Heart rate estimation from ballistocardiogram signals processing via low-cost telemedicine architectures: a comparative performance evaluation
Published in
Frontiers in Digital Health, July 2023
DOI 10.3389/fdgth.2023.1222898
Pubmed ID
Authors

Adriano Tramontano, Oscar Tamburis, Salvatore Cioce, Salvatore Venticinque, Mario Magliulo

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 12%
Researcher 2 12%
Librarian 1 6%
Unspecified 1 6%
Lecturer 1 6%
Other 0 0%
Unknown 10 59%
Readers by discipline Count As %
Business, Management and Accounting 2 12%
Unspecified 1 6%
Computer Science 1 6%
Psychology 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 10 59%
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 03 May 2024.
All research outputs
#16,057,757
of 25,840,929 outputs
Outputs from Frontiers in Digital Health
#466
of 868 outputs
Outputs of similar age
#172,293
of 362,361 outputs
Outputs of similar age from Frontiers in Digital Health
#21
of 60 outputs
Altmetric has tracked 25,840,929 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 868 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 42nd percentile – i.e., 42% 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 362,361 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 51% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.