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Spatial Analysis of “Crazy Quilts”, a Class of Potentially Random Aesthetic Artefacts

Overview of attention for article published in PLOS ONE, September 2013
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  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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6 X users
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1 Redditor

Citations

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7 Dimensions

Readers on

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17 Mendeley
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1 CiteULike
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Title
Spatial Analysis of “Crazy Quilts”, a Class of Potentially Random Aesthetic Artefacts
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0074055
Pubmed ID
Authors

Gesche Westphal-Fitch, W. Tecumseh Fitch

Abstract

Human artefacts in general are highly structured and often display ordering principles such as translational, reflectional or rotational symmetry. In contrast, human artefacts that are intended to appear random and non symmetrical are very rare. Furthermore, many studies show that humans find it extremely difficult to recognize or reproduce truly random patterns or sequences. Here, we attempt to model two-dimensional decorative spatial patterns produced by humans that show no obvious order. "Crazy quilts" represent a historically important style of quilt making that became popular in the 1870s, and lasted about 50 years. Crazy quilts are unusual because unlike most human artefacts, they are specifically intended to appear haphazard and unstructured. We evaluate the degree to which this intention was achieved by using statistical techniques of spatial point pattern analysis to compare crazy quilts with regular quilts from the same region and era and to evaluate the fit of various random distributions to these two quilt classes. We found that the two quilt categories exhibit fundamentally different spatial characteristics: The patch areas of crazy quilts derive from a continuous random distribution, while area distributions of regular quilts consist of Gaussian mixtures. These Gaussian mixtures derive from regular pattern motifs that are repeated and we suggest that such a mixture is a distinctive signature of human-made visual patterns. In contrast, the distribution found in crazy quilts is shared with many other naturally occurring spatial patterns. Centroids of patches in the two quilt classes are spaced differently and in general, crazy quilts but not regular quilts are well-fitted by a random Strauss process. These results indicate that, within the constraints of the quilt format, Victorian quilters indeed achieved their goal of generating random structures.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 2 12%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Ph. D. Student 3 18%
Student > Bachelor 2 12%
Student > Doctoral Student 2 12%
Unspecified 1 6%
Other 2 12%
Unknown 3 18%
Readers by discipline Count As %
Psychology 6 35%
Arts and Humanities 3 18%
Agricultural and Biological Sciences 2 12%
Linguistics 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 March 2018.
All research outputs
#5,949,230
of 23,577,761 outputs
Outputs from PLOS ONE
#76,080
of 202,084 outputs
Outputs of similar age
#44,670
of 181,042 outputs
Outputs of similar age from PLOS ONE
#1,537
of 4,898 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 202,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 62% 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 181,042 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 75% of its contemporaries.
We're also able to compare this research output to 4,898 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.