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AE—Automation and Emerging Technologies Weed Leaf Image Segmentation by Deformable Templates

Overview of attention for article published in Journal of Agricultural Engineering Research, October 2001
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About this Attention Score

  • Among the highest-scoring outputs from this source (#42 of 242)
  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
32 Mendeley
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Article details
Title
AE—Automation and Emerging Technologies Weed Leaf Image Segmentation by Deformable Templates
Published in
Journal of Agricultural Engineering Research, October 2001
DOI 10.1006/jaer.2001.0725
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 1 3%
Germany 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 34%
Student > Master 6 19%
Researcher 4 13%
Student > Doctoral Student 2 6%
Professor > Associate Professor 2 6%
Other 2 6%
Unknown 5 16%
Readers by discipline
Readers by discipline Count As %
Engineering 11 34%
Computer Science 9 28%
Agricultural and Biological Sciences 4 13%
Environmental Science 1 3%
Unknown 7 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 December 2011.
All research outputs
#7,646,787
of 28,840,878 outputs
Outputs from Journal of Agricultural Engineering Research
#42
of 242 outputs
Outputs of similar age
#16,299
of 51,292 outputs
Outputs of similar age from Journal of Agricultural Engineering Research
#1
of 1 outputs
Altmetric has tracked 28,840,878 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 242 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 82% 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 51,292 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 67% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them