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Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients

Overview of attention for article published in Frontiers in Pediatrics, August 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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5 X users

Citations

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3 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients
Published in
Frontiers in Pediatrics, August 2022
DOI 10.3389/fped.2022.886212
Pubmed ID
Authors

Chak Foon Tso, Carson Lam, Jacob Calvert, Qingqing Mao

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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 > Bachelor 2 20%
Researcher 2 20%
Unspecified 1 10%
Student > Postgraduate 1 10%
Unknown 4 40%
Readers by discipline Count As %
Engineering 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Unspecified 1 10%
Medicine and Dentistry 1 10%
Social Sciences 1 10%
Other 0 0%
Unknown 4 40%
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 20 September 2022.
All research outputs
#14,587,855
of 24,476,221 outputs
Outputs from Frontiers in Pediatrics
#2,066
of 7,157 outputs
Outputs of similar age
#184,282
of 422,065 outputs
Outputs of similar age from Frontiers in Pediatrics
#122
of 517 outputs
Altmetric has tracked 24,476,221 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,157 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 69% 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 422,065 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 54% of its contemporaries.
We're also able to compare this research output to 517 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 74% of its contemporaries.