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X Demographics
Mendeley readers
Attention Score in Context
| 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
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 64% |
| Researcher | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Lecturer > Senior Lecturer | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 64% |
| Engineering | 2 | 18% |
| Earth and Planetary Sciences | 1 | 9% |
| Environmental Science | 1 | 9% |
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
#17,727,461
of 25,983,245 outputs
Outputs from Computers & Electronics in Agriculture
#1,212
of 1,668 outputs
Outputs of similar age
#63,268
of 125,901 outputs
Outputs of similar age from Computers & Electronics in Agriculture
#8
of 14 outputs
Altmetric has tracked 25,983,245 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 1,668 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 125,901 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.