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A new localized sampling method to improve grape yield estimation of the current season using yield historical data

Overview of attention for article published in Precision Agriculture, March 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 303)
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
11 X users
facebook
1 Facebook page

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
41 Mendeley
Title
A new localized sampling method to improve grape yield estimation of the current season using yield historical data
Published in
Precision Agriculture, March 2019
DOI 10.1007/s11119-019-09644-y
Authors

M. Araya-Alman, C. Leroux, C. Acevedo-Opazo, S. Guillaume, H. Valdés-Gómez, N. Verdugo-Vásquez, C. Pañitrur-De la Fuente, B. Tisseyre

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 7 17%
Student > Master 5 12%
Student > Doctoral Student 3 7%
Student > Bachelor 2 5%
Other 6 15%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 37%
Computer Science 4 10%
Environmental Science 2 5%
Engineering 2 5%
Decision Sciences 1 2%
Other 3 7%
Unknown 14 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 April 2019.
All research outputs
#3,328,211
of 23,140,503 outputs
Outputs from Precision Agriculture
#25
of 303 outputs
Outputs of similar age
#75,945
of 351,910 outputs
Outputs of similar age from Precision Agriculture
#2
of 13 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 91% 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 351,910 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.