Evidence map›Paper›PMID 29491992›Full record

ArticleCurrent zoology2017

Visual classification of feral cat

Jessica L Owens, Mariana Olsen, Amy Fontaine, Christopher Kloth, Arik Kershenbaum, Sara Waller

Abstract read
In one paragraph

Article in Current zoology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Feline vocal communication.Journal of veterinary science · 2020
    Review
  2. Review
  3. Automatic Classification of Cat VocalizationsEmitted in Different Contexts.Animals : an open access journal from MDPI · 2019
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jessica L OwensCooperative Predator Vocalization Consortium, South Daytona, FL, 32119.
Mariana OlsenDepartment of Philosophy, Montana State University, Bozeman, MT, 59717.
Amy FontaineDepartment of Wildlife, Humboldt State University, Arcata, CA, 95521.
Christopher KlothDepartment of Philosophy, University of Nevada, Reno, NV, 89503, USA.
Arik KershenbaumDepartment of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK.
Sara WallerDepartment of Philosophy, Montana State University, Bozeman, MT, 59717.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cat vocal behavior, in particular, the vocal and social behavior of feral cats, is poorly understood, as are the differences between feral and fully domestic cats. The relationship between feral cat social and vocal behavior is important because of the markedly different ecology of feral and domestic cats, and enhanced comprehension of the repertoire and potential information content of feral cat calls can provide both better understanding of the domestication and socialization process, and improved welfare for feral cats undergoing adoption. Previous studies have used conflicting classification schemes for cat vocalizations, often relying on onomatopoeic or popular descriptions of call types (e.g., "miow"). We studied the vocalizations of 13 unaltered domestic cats that complied with our behavioral definition used to distinguish feral cats from domestic. A total of 71 acoustic units were extracted and visually analyzed for the construction of a hierarchical classification of vocal sounds, based on acoustic properties. We identified 3 major categories (tonal, pulse, and broadband) that further breakdown into 8 subcategories, and show a high degree of reliability when sounds are classified blindly by independent observers (Fleiss' Kappa

Indexed as

bioacousticscommunicationsocializationspectrograms.

Identifiers

PMID29491992
PMCPMC5804184

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.