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Cost Forecasting of Public Construction Projects Using Multilayer Perceptron Artificial Neural Networks: A Case Study

Overview of attention for article published in Ingeniería e Investigación, June 2021
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1 X user

Citations

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9 Dimensions

Readers on

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50 Mendeley
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Title
Cost Forecasting of Public Construction Projects Using Multilayer Perceptron Artificial Neural Networks: A Case Study
Published in
Ingeniería e Investigación, June 2021
DOI 10.15446/ing.investig.v41n3.87737
Authors

Alcineide Pessoa, Gean Sousa, Luiz Maués, Felipe Alvarenga, Débora Santos

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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 12%
Researcher 2 4%
Student > Postgraduate 2 4%
Student > Ph. D. Student 2 4%
Student > Bachelor 1 2%
Other 4 8%
Unknown 33 66%
Readers by discipline Count As %
Engineering 10 20%
Business, Management and Accounting 2 4%
Environmental Science 1 2%
Computer Science 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 33 66%
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 31 March 2024.
All research outputs
#20,842,117
of 25,608,265 outputs
Outputs from Ingeniería e Investigación
#76
of 113 outputs
Outputs of similar age
#343,025
of 455,138 outputs
Outputs of similar age from Ingeniería e Investigación
#5
of 5 outputs
Altmetric has tracked 25,608,265 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 113 research outputs from this source. They receive a mean Attention Score of 1.2. This one is in the 1st percentile – i.e., 1% 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 455,138 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 5 others from the same source and published within six weeks on either side of this one.