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Algorithms for predicting COVID outcome using ready-to-use laboratorial and clinical data

Overview of attention for article published in Frontiers in Public Health, May 2024
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
2 Mendeley
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Title
Algorithms for predicting COVID outcome using ready-to-use laboratorial and clinical data
Published in
Frontiers in Public Health, May 2024
DOI 10.3389/fpubh.2024.1347334
Pubmed ID
Authors

Alice Aparecida Lourenço, Paulo Henrique Ribeiro Amaral, Adriana Alves Oliveira Paim, Geovane Ferreira Marques, Leticia Gomes-de-Pontes, Camila Pacheco Silveira Martins da Mata, Flávio Guimarães da Fonseca, Juan Carlos González Pérez, Jordana Grazziela Alves Coelho-dos-Reis

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%
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 29 May 2024.
All research outputs
#17,736,433
of 25,999,665 outputs
Outputs from Frontiers in Public Health
#6,585
of 14,523 outputs
Outputs of similar age
#100,501
of 197,399 outputs
Outputs of similar age from Frontiers in Public Health
#71
of 146 outputs
Altmetric has tracked 25,999,665 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,523 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 50% 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 197,399 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.