Evidence map›Paper›PMID 28372124›Full record

ArticleThe Journal of the Acoustical Society of America2017

Automated acoustic analysis of 50-kHz ultrasonic vocalizations using template matching and contour analysis.

David J Barker, Aaron M Johnson

Open access · hybridAbstract readComparative StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of the Acoustical Society of America, 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
1.5field-weighted citation impact, top 14% of its field
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, 7 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

David J BarkerNational Institute on Drug Abuse Intramural Research Program, Neuronal Networks Section, National Institutes of Health, 251 Bayview Boulevard, Baltimore, Maryland 21224, USA djamesbarker@gmail.com.
Aaron M JohnsonDepartment of Otolaryngology-Head and Neck Surgery, New York University Voice Center, New York University School of Medicine, 345 East 37th Street, Suite 306, New York, New York 10016, USA aaron.johnson@nyumc.org.
National Institutes of Health · USNew York University · US

Funding

Translational Study of Vocal Exercise Dose-responseK23DC014517 · NIDCD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI JOHNSON, AARON MATTHEW · 2015 to 2019
$1.0M
NIDCD NIH HHS K23 DC014517
6 · The paper itself

Abstract

Ultrasonic vocalizations are a useful tool for inferring affective states in the rat and have been incorporated in research paradigms modeling important human conditions. While the majority of studies report the quantity or rate of observed ultrasonic vocalizations, growing evidence suggests that critical data may be contained in the acoustic features of individual vocalizations. Thus, the goal of the present study was to develop and validate a method for measuring acoustic parameters of ultrasonic vocalizations that were collected using automatic template detection. Acoustic parameters derived using this method were found to be comparable to those collected using commercially available software.

Indexed as

Signal Processing, Computer-AssistedUltrasonic WavesVocalization, AnimalAnimalsAutomation, LaboratoryMalePattern Recognition, AutomatedRats, Long-EvansReproducibility of ResultsSoftwareSound SpectrographyTime FactorsUltrasonics

Identifiers

PMID28372124
PMCPMC5392077
OpenAlexW2596603228

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.