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Comment on “Artificial intelligence and machine learning in pediatrics and neonatology healthcare”

Overview of attention for article published in Revista da Associação Médica Brasileira, November 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Readers on

mendeley
13 Mendeley
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Title
Comment on “Artificial intelligence and machine learning in pediatrics and neonatology healthcare”
Published in
Revista da Associação Médica Brasileira, November 2022
DOI 10.1590/1806-9282.20220948
Pubmed ID
Authors

Fernando Korn Malerbi, Marcio Krakauer, Beatriz Schaan

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 15%
Professor > Associate Professor 1 8%
Researcher 1 8%
Student > Master 1 8%
Unknown 8 62%
Readers by discipline Count As %
Unspecified 2 15%
Psychology 1 8%
Decision Sciences 1 8%
Medicine and Dentistry 1 8%
Unknown 8 62%
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 16 November 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Revista da Associação Médica Brasileira
#612
of 1,105 outputs
Outputs of similar age
#307,028
of 440,740 outputs
Outputs of similar age from Revista da Associação Médica Brasileira
#7
of 14 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,105 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 41st percentile – i.e., 41% 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 440,740 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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 50% of its contemporaries.