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Identification of Smith–Magenis syndrome cases through an experimental evaluation of machine learning methods

Overview of attention for article published in Frontiers in Computational Neuroscience, March 2024
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  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Title
Identification of Smith–Magenis syndrome cases through an experimental evaluation of machine learning methods
Published in
Frontiers in Computational Neuroscience, March 2024
DOI 10.3389/fncom.2024.1357607
Pubmed ID
Authors

Raúl Fernández-Ruiz, Esther Núñez-Vidal, Irene Hidalgo-delaguía, Elena Garayzábal-Heinze, Agustín Álvarez-Marquina, Rafael Martínez-Olalla, Daniel Palacios-Alonso

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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 12 April 2024.
All research outputs
#20,214,347
of 25,703,943 outputs
Outputs from Frontiers in Computational Neuroscience
#1,018
of 1,474 outputs
Outputs of similar age
#144,777
of 232,444 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#5
of 14 outputs
Altmetric has tracked 25,703,943 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 1,474 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 24th percentile – i.e., 24% 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 232,444 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% 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 64% of its contemporaries.