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Prediction of Delivery Within 7 Days After Diagnosis of Early Onset Preeclampsia Using Machine-Learning Models

Overview of attention for article published in Frontiers in Cardiovascular Medicine, July 2022
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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3 X users

Citations

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7 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Prediction of Delivery Within 7 Days After Diagnosis of Early Onset Preeclampsia Using Machine-Learning Models
Published in
Frontiers in Cardiovascular Medicine, July 2022
DOI 10.3389/fcvm.2022.910701
Pubmed ID
Authors

Cecilia Villalaín, Ignacio Herraiz, Paula Domínguez-Del Olmo, Pablo Angulo, José Luis Ayala, Alberto Galindo

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 11%
Student > Ph. D. Student 3 11%
Unspecified 2 7%
Student > Bachelor 2 7%
Lecturer > Senior Lecturer 1 4%
Other 3 11%
Unknown 14 50%
Readers by discipline Count As %
Computer Science 5 18%
Unspecified 2 7%
Nursing and Health Professions 2 7%
Medicine and Dentistry 2 7%
Social Sciences 1 4%
Other 1 4%
Unknown 15 54%
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 19 July 2022.
All research outputs
#15,174,183
of 24,089,711 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,117
of 8,044 outputs
Outputs of similar age
#211,412
of 424,095 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#250
of 966 outputs
Altmetric has tracked 24,089,711 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,044 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 70% 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 424,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 966 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 71% of its contemporaries.