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Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis

Overview of attention for article published in Psychometrika, March 1964
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 545)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
1 X user
patent
8 patents
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
5493 Dimensions

Readers on

mendeley
1465 Mendeley
citeulike
10 CiteULike
Title
Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
Published in
Psychometrika, March 1964
DOI 10.1007/bf02289565
Authors

J. B. Kruskal

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,465 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 39 3%
Germany 12 <1%
United Kingdom 8 <1%
Brazil 7 <1%
Canada 7 <1%
Japan 5 <1%
Portugal 4 <1%
France 3 <1%
Australia 2 <1%
Other 33 2%
Unknown 1345 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 367 25%
Researcher 246 17%
Student > Master 199 14%
Student > Bachelor 102 7%
Student > Doctoral Student 91 6%
Other 261 18%
Unknown 199 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 323 22%
Computer Science 178 12%
Environmental Science 132 9%
Engineering 95 6%
Psychology 72 5%
Other 392 27%
Unknown 273 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 26 April 2022.
All research outputs
#1,886,923
of 25,837,817 outputs
Outputs from Psychometrika
#24
of 545 outputs
Outputs of similar age
#44
of 1,731 outputs
Outputs of similar age from Psychometrika
#1
of 1 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 545 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 94% 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 1,731 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 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