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Comparison of deep learning models for milk production forecasting at national scale

Overview of attention for article published in Computers & Electronics in Agriculture, June 2024
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Mentioned by

twitter
1 X user

Readers on

mendeley
6 Mendeley
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Title
Comparison of deep learning models for milk production forecasting at national scale
Published in
Computers & Electronics in Agriculture, June 2024
DOI 10.1016/j.compag.2024.108933
Authors

Luigi Cesarini, Rui Gonçalves, Mario Martina, Xavier Romão, Beatrice Monteleone, Fernando Lobo Pereira, Rui Figueiredo

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 50%
Researcher 2 33%
Student > Ph. D. Student 1 17%
Readers by discipline Count As %
Unspecified 3 50%
Environmental Science 1 17%
Earth and Planetary Sciences 1 17%
Engineering 1 17%
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 24 April 2024.
All research outputs
#17,645,910
of 25,864,668 outputs
Outputs from Computers & Electronics in Agriculture
#1,204
of 1,657 outputs
Outputs of similar age
#31,758
of 64,085 outputs
Outputs of similar age from Computers & Electronics in Agriculture
#5
of 9 outputs
Altmetric has tracked 25,864,668 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 1,657 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 64,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.