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AI-based preeclampsia detection and prediction with electrocardiogram data

Overview of attention for article published in Frontiers in Cardiovascular Medicine, March 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
10 Mendeley
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Title
AI-based preeclampsia detection and prediction with electrocardiogram data
Published in
Frontiers in Cardiovascular Medicine, March 2024
DOI 10.3389/fcvm.2024.1360238
Pubmed ID
Authors

Liam Butler, Fatma Gunturkun, Lokesh Chinthala, Ibrahim Karabayir, Mohammad S. Tootooni, Berna Bakir-Batu, Turgay Celik, Oguz Akbilgic, Robert L. Davis

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 10%
Unspecified 1 10%
Student > Bachelor 1 10%
Lecturer 1 10%
Unknown 6 60%
Readers by discipline Count As %
Unspecified 1 10%
Nursing and Health Professions 1 10%
Computer Science 1 10%
Medicine and Dentistry 1 10%
Unknown 6 60%
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 04 March 2024.
All research outputs
#15,190,453
of 25,408,670 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,096
of 9,257 outputs
Outputs of similar age
#58,003
of 149,074 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#19
of 213 outputs
Altmetric has tracked 25,408,670 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,257 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 76% of its peers.
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 149,074 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 59% of its contemporaries.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.