↓ Skip to main content

Hierarchical clustering schemes

Overview of attention for article published in Psychometrika, September 1967
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 358)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

1 tweeter
11 patents
1 Wikipedia page


2515 Dimensions

Readers on

640 Mendeley
17 CiteULike
Hierarchical clustering schemes
Published in
Psychometrika, September 1967
DOI 10.1007/bf02289588

Stephen C. Johnson

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 640 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 4%
United Kingdom 13 2%
Germany 8 1%
Brazil 6 <1%
France 6 <1%
Italy 3 <1%
Spain 3 <1%
Mexico 3 <1%
Sweden 3 <1%
Other 14 2%
Unknown 557 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 198 31%
Student > Master 111 17%
Researcher 104 16%
Student > Doctoral Student 35 5%
Student > Bachelor 33 5%
Other 119 19%
Unknown 40 6%
Readers by discipline Count As %
Computer Science 210 33%
Engineering 81 13%
Agricultural and Biological Sciences 54 8%
Psychology 25 4%
Mathematics 25 4%
Other 180 28%
Unknown 65 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 28 August 2019.
All research outputs
of 13,927,501 outputs
Outputs from Psychometrika
of 358 outputs
Outputs of similar age
of 247,856 outputs
Outputs of similar age from Psychometrika
of 7 outputs
Altmetric has tracked 13,927,501 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 358 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 93% 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 247,856 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 7 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