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Modelo para estimativa do potencial produtivo em trigo e cevada por meio do sensor GreenSeeker

Overview of attention for article published in Engenharia Agrícola, July 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
2 blogs

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Modelo para estimativa do potencial produtivo em trigo e cevada por meio do sensor GreenSeeker
Published in
Engenharia Agrícola, July 2009
DOI 10.1590/s0100-69162009000100011
Authors

Daniel S. Grohs, Christian Bredemeier, Claudio M. Mundstock, Naracelis Poletto

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 14%
Other 1 14%
Unknown 5 71%
Readers by discipline Count As %
Environmental Science 1 14%
Agricultural and Biological Sciences 1 14%
Unknown 5 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 12 November 2018.
All research outputs
#3,381,878
of 25,373,627 outputs
Outputs from Engenharia Agrícola
#4
of 80 outputs
Outputs of similar age
#12,662
of 122,426 outputs
Outputs of similar age from Engenharia Agrícola
#1
of 1 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 80 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 95% 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 122,426 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 89% 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