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colorspace : A Toolbox for Manipulating and Assessing Colors and Palettes

Overview of attention for article published in Journal of Statistical Software, January 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 295)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
57 X users
wikipedia
4 Wikipedia pages

Readers on

mendeley
183 Mendeley
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Title
colorspace : A Toolbox for Manipulating and Assessing Colors and Palettes
Published in
Journal of Statistical Software, January 2020
DOI 10.18637/jss.v096.i01
Authors

Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 57 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 183 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 22%
Researcher 28 15%
Student > Bachelor 23 13%
Student > Master 15 8%
Other 9 5%
Other 22 12%
Unknown 46 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 17%
Environmental Science 17 9%
Biochemistry, Genetics and Molecular Biology 15 8%
Psychology 8 4%
Earth and Planetary Sciences 7 4%
Other 53 29%
Unknown 52 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 29 July 2024.
All research outputs
#813,461
of 26,589,077 outputs
Outputs from Journal of Statistical Software
#6
of 295 outputs
Outputs of similar age
#19,246
of 484,749 outputs
Outputs of similar age from Journal of Statistical Software
#1
of 18 outputs
Altmetric has tracked 26,589,077 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 295 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done particularly well, scoring higher than 97% 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 484,749 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.