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Raven food calls indicate sender’s age and sex

Overview of attention for article published in Frontiers in Zoology, March 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 688)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
6 news outlets
blogs
4 blogs
twitter
16 X users
facebook
2 Facebook pages
reddit
3 Redditors
video
1 YouTube creator

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
67 Mendeley
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Title
Raven food calls indicate sender’s age and sex
Published in
Frontiers in Zoology, March 2018
DOI 10.1186/s12983-018-0255-z
Pubmed ID
Authors

Markus Boeckle, Georgine Szipl, Thomas Bugnyar

Abstract

Acoustic parameters of animal signals have been shown to correlate with various phenotypic characteristics of the sender. These acoustic characteristics can be learned and categorized and thus are a basis for perceivers' recognition abilities. One of the most demanding capacities is individual recognition, achievable only after repeated interactions with the same individual. Still, class-level recognition might be potentially important to perceivers who have not previously encountered callers but can classify unknown individuals according to the already learned categories. Especially for species with high fission-fusion dynamics that repeatedly encounter unknown individuals it may be advantageous to develop class-level recognition. We tested whether frequency-, temporal-, and amplitude-related acoustic parameters of vocalizations emitted by ravens, a species showing high fission-fusion dynamics in non-breeder aggregations, are connected to phenotypic characteristics and thus have the potential for class-level recognition. The analysis of 418 food calls revealed that some components summarizing acoustic parameters were differentiated by age-classes and sex. Together, the results provide evidence for the co-variation of vocal characteristics and respective sex and age categories, a prerequisite for class-level recognition in perceivers. Perceivers that are ignorant of the caller's identity can thus potentially recognize these class-level differences for decision-making processes in feeding contexts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 21%
Student > Ph. D. Student 9 13%
Researcher 7 10%
Student > Master 7 10%
Student > Doctoral Student 5 7%
Other 10 15%
Unknown 15 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 36%
Environmental Science 5 7%
Linguistics 3 4%
Psychology 3 4%
Neuroscience 3 4%
Other 12 18%
Unknown 17 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 02 November 2021.
All research outputs
#486,471
of 24,945,754 outputs
Outputs from Frontiers in Zoology
#27
of 688 outputs
Outputs of similar age
#11,348
of 339,310 outputs
Outputs of similar age from Frontiers in Zoology
#2
of 16 outputs
Altmetric has tracked 24,945,754 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done particularly well, scoring higher than 96% 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 339,310 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 16 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 93% of its contemporaries.