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ScottKnott: A Package for Performing the Scott-Knott Clustering Algorithm in R

Overview of attention for article published in Trends in Computational and Applied Mathematics, March 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
122 Dimensions

Readers on

mendeley
136 Mendeley
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Title
ScottKnott: A Package for Performing the Scott-Knott Clustering Algorithm in R
Published in
Trends in Computational and Applied Mathematics, March 2014
DOI 10.5540/tema.2014.015.01.0003
Authors

Enio Jelihovschi, José Cláudio Faria, Ivan Bezerra Allaman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Brazil 1 <1%
Unknown 134 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 20%
Student > Ph. D. Student 22 16%
Student > Doctoral Student 20 15%
Student > Bachelor 13 10%
Researcher 9 7%
Other 20 15%
Unknown 25 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 42%
Computer Science 13 10%
Engineering 7 5%
Biochemistry, Genetics and Molecular Biology 6 4%
Environmental Science 5 4%
Other 10 7%
Unknown 38 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 June 2020.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Trends in Computational and Applied Mathematics
#1
of 1 outputs
Outputs of similar age
#80,310
of 236,818 outputs
Outputs of similar age from Trends in Computational and Applied Mathematics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
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 236,818 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 51% 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