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Detection of coffee fruits on tree branches using computer vision

Overview of attention for article published in Scientia Agricola, January 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
16 Mendeley
Summary Twitter
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Title
Detection of coffee fruits on tree branches using computer vision
Published in
Scientia Agricola, January 2023
DOI 10.1590/1678-992x-2022-0064
Authors

Helizani Couto Bazame, José Paulo Molin, Daniel Althoff, Maurício Martello

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 13%
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Unspecified 1 6%
Student > Postgraduate 1 6%
Other 1 6%
Unknown 9 56%
Readers by discipline Count As %
Engineering 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Unspecified 1 6%
Materials Science 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 10 63%

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 29 May 2023.
All research outputs
#16,090,209
of 23,870,803 outputs
Outputs from Scientia Agricola
#142
of 214 outputs
Outputs of similar age
#241,072
of 448,769 outputs
Outputs of similar age from Scientia Agricola
#1
of 10 outputs
Altmetric has tracked 23,870,803 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 214 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 18th percentile – i.e., 18% 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 448,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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

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