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Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts

Overview of attention for article published in JMIR Public Health and Surveillance, June 2025
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Mentioned by

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1 Facebook page
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1 Bluesky user

Readers on

mendeley
24 Mendeley
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Article details
Title
Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts
Published in
JMIR Public Health and Surveillance, June 2025
DOI 10.2196/69220
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 4 17%
Unspecified 3 13%
Other 1 4%
Student > Bachelor 1 4%
Student > Ph. D. Student 1 4%
Other 1 4%
Unknown 13 54%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 5 21%
Unspecified 3 13%
Medicine and Dentistry 1 4%
Engineering 1 4%
Unknown 14 58%
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 18 June 2025.
All research outputs
#23,366,466
of 28,576,962 outputs
Outputs from JMIR Public Health and Surveillance
#1,395
of 1,731 outputs
Outputs of similar age
#128,249
of 178,925 outputs
Outputs of similar age from JMIR Public Health and Surveillance
#3
of 16 outputs
Altmetric has tracked 28,576,962 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,731 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 14th percentile – i.e., 14% 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 178,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.