↓ Skip to main content

Long-range Order in Canary Song

Overview of attention for article published in PLoS Computational Biology, May 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
9 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
106 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Long-range Order in Canary Song
Published in
PLoS Computational Biology, May 2013
DOI 10.1371/journal.pcbi.1003052
Pubmed ID
Authors

Jeffrey E. Markowitz, Elizabeth Ivie, Laura Kligler, Timothy J. Gardner

Abstract

Bird songs range in form from the simple notes of a Chipping Sparrow to the rich performance of the nightingale. Non-adjacent correlations can be found in the syntax of some birdsongs, indicating that the choice of what to sing next is determined not only by the current syllable, but also by previous syllables sung. Here we examine the song of the domesticated canary, a complex singer whose song consists of syllables, grouped into phrases that are arranged in flexible sequences. Phrases are defined by a fundamental time-scale that is independent of the underlying syllable duration. We show that the ordering of phrases is governed by long-range rules: the choice of what phrase to sing next in a given context depends on the history of the song, and for some syllables, highly specific rules produce correlations in song over timescales of up to ten seconds. The neural basis of these long-range correlations may provide insight into how complex behaviors are assembled from more elementary, stereotyped modules.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Portugal 1 <1%
France 1 <1%
Italy 1 <1%
Unknown 100 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 35%
Researcher 16 15%
Student > Master 16 15%
Professor > Associate Professor 8 8%
Professor 6 6%
Other 11 10%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 34%
Neuroscience 24 23%
Computer Science 5 5%
Engineering 5 5%
Physics and Astronomy 4 4%
Other 14 13%
Unknown 18 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 10 March 2021.
All research outputs
#3,274,420
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#2,895
of 8,960 outputs
Outputs of similar age
#26,893
of 204,143 outputs
Outputs of similar age from PLoS Computational Biology
#31
of 129 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 67% 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 204,143 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 86% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.