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Artificial neural networks in the prediction of fraud in integral milk powder by adding whey powder

Overview of attention for article published in Ciência Rural, January 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Readers on

mendeley
8 Mendeley
Summary Twitter Facebook
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Title
Artificial neural networks in the prediction of fraud in integral milk powder by adding whey powder
Published in
Ciência Rural, January 2022
DOI 10.1590/0103-8478cr20210109
Authors

Raissa Oliveira Rocha Alves, Otávio Chedid Tomé, Pollyanna Cardoso Pereira, Camila Nair Batista Couto Villanoeva, Vanelle Maria da Silva

View on publisher site

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Student > Doctoral Student 1 13%
Student > Ph. D. Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Unspecified 2 25%
Veterinary Science and Veterinary Medicine 1 13%
Mathematics 1 13%
Unknown 4 50%

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 09 May 2022.
All research outputs
#18,146,485
of 23,312,088 outputs
Outputs from Ciência Rural
#733
of 1,992 outputs
Outputs of similar age
#344,914
of 507,944 outputs
Outputs of similar age from Ciência Rural
#81
of 210 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,992 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 54% 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 507,944 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.

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