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Processamento de linguagem natural não supervisionado na identificação de pacientes suspeitos de infecção por COVID-19

Overview of attention for article published in Cadernos de Saúde Pública, January 2023
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Mentioned by

twitter
1 X user

Readers on

mendeley
2 Mendeley
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Title
Processamento de linguagem natural não supervisionado na identificação de pacientes suspeitos de infecção por COVID-19
Published in
Cadernos de Saúde Pública, January 2023
DOI 10.1590/0102-311xpt243722
Pubmed ID
Authors

Rildo Pinto da Silva, Juliana Tarossi Pollettini, Antonio Pazin Filho

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 %
Unspecified 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 20 April 2024.
All research outputs
#20,969,465
of 25,756,531 outputs
Outputs from Cadernos de Saúde Pública
#1,412
of 1,881 outputs
Outputs of similar age
#355,370
of 480,045 outputs
Outputs of similar age from Cadernos de Saúde Pública
#44
of 67 outputs
Altmetric has tracked 25,756,531 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,881 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 15th percentile – i.e., 15% 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 480,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.