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Allometric relationship and leaf area modeling estimation on chia by non-destructive method1

Overview of attention for article published in Revista Brasileira de Engenharia Agrícola e Ambiental, May 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 250)
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Allometric relationship and leaf area modeling estimation on chia by non-destructive method1
Published in
Revista Brasileira de Engenharia Agrícola e Ambiental, May 2021
DOI 10.1590/1807-1929/agriambi.v25n5p305-311
Authors

Patrícia C. H. Goergen, Isabel Lago, Natalia T. Schwab, Alexandre F. Alves, Charles P. de O. Freitas, Verlaine S. Selli

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 20%
Student > Bachelor 1 20%
Researcher 1 20%
Unknown 2 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 40%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 September 2023.
All research outputs
#4,839,541
of 25,387,668 outputs
Outputs from Revista Brasileira de Engenharia Agrícola e Ambiental
#8
of 250 outputs
Outputs of similar age
#113,464
of 453,943 outputs
Outputs of similar age from Revista Brasileira de Engenharia Agrícola e Ambiental
#1
of 6 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 250 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 22nd percentile – i.e., 22% 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 453,943 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 73% of its contemporaries.
We're also able to compare this research output to 6 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