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Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data

Overview of attention for article published in Ciência Rural, January 2022
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Mentioned by

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1 Facebook page

Citations

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11 Dimensions

Readers on

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32 Mendeley
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Title
Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data
Published in
Ciência Rural, January 2022
DOI 10.1590/0103-8478cr20201072
Authors

Roberta de Amorim Ferreira, Gabriely Teixeira, Luiz Alexandre Peternelli

Mendeley readers

Mendeley readers

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.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Student > Doctoral Student 3 9%
Unspecified 3 9%
Researcher 3 9%
Professor 3 9%
Other 4 13%
Unknown 12 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 19%
Chemistry 5 16%
Unspecified 3 9%
Engineering 2 6%
Business, Management and Accounting 1 3%
Other 2 6%
Unknown 13 41%
Attention Score in Context

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 05 May 2022.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Ciência Rural
#1,058
of 2,232 outputs
Outputs of similar age
#439,918
of 515,332 outputs
Outputs of similar age from Ciência Rural
#101
of 211 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,232 research outputs from this source. They receive a mean Attention Score of 1.3. This one is in the 1st percentile – i.e., 1% 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 515,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.