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Nursing workload: use of artificial intelligence to develop a classifier model *

Overview of attention for article published in Revista Latino-Americana de Enfermagem, January 2024
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1 X user

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92 Mendeley
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Article details
Title
Nursing workload: use of artificial intelligence to develop a classifier model *
Published in
Revista Latino-Americana de Enfermagem, January 2024
DOI 10.1590/1518-8345.7131.4239
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 6 7%
Student > Master 6 7%
Researcher 6 7%
Other 4 4%
Unspecified 2 2%
Other 6 7%
Unknown 62 67%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 16 17%
Business, Management and Accounting 3 3%
Medicine and Dentistry 3 3%
Unspecified 2 2%
Computer Science 2 2%
Other 4 4%
Unknown 62 67%
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 January 2025.
All research outputs
#22,700,034
of 27,791,244 outputs
Outputs from Revista Latino-Americana de Enfermagem
#639
of 879 outputs
Outputs of similar age
#294,505
of 410,732 outputs
Outputs of similar age from Revista Latino-Americana de Enfermagem
#24
of 61 outputs
Altmetric has tracked 27,791,244 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 879 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 11th percentile – i.e., 11% 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 410,732 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 61 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.