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Supervised learning techniques for dairy cattle body weight prediction from 3D digital images

Overview of attention for article published in Frontiers in Genetics, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Supervised learning techniques for dairy cattle body weight prediction from 3D digital images
Published in
Frontiers in Genetics, January 2023
DOI 10.3389/fgene.2022.947176
Pubmed ID
Authors

Grum Gebreyesus, Viktor Milkevych, Jan Lassen, Goutam Sahana

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Researcher 4 15%
Student > Postgraduate 2 8%
Student > Master 1 4%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 13 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 19%
Computer Science 4 15%
Veterinary Science and Veterinary Medicine 2 8%
Engineering 2 8%
Unknown 13 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 January 2023.
All research outputs
#13,298,003
of 23,549,388 outputs
Outputs from Frontiers in Genetics
#2,797
of 12,563 outputs
Outputs of similar age
#153,181
of 435,811 outputs
Outputs of similar age from Frontiers in Genetics
#69
of 657 outputs
Altmetric has tracked 23,549,388 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,563 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 435,811 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 657 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.