Evidence map›Paper›PMID 31213168›Full record

ArticleJournal of the Royal Society, Interface2019

Automated bioacoustics: methods in ecology and conservation and their potential for animal welfare monitoring.

Michael P Mcloughlin, Rebecca Stewart, Alan G McElligott

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Cryptic species conservation: a review.Biological reviews of the Cambridge Philosophical Society · 2025
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  20. Occupational Safety and Health with Technological Developments in Livestock Farms: A Literature Review.International journal of environmental research and public health · 2022
    Review
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

3 authors.

Michael P Mcloughlin1 Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Campus , London , UK.
Rebecca Stewart1 Centre for Digital Music, School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Campus , London , UK.
Alan G McElligott2 Centre for Research in Ecology, Evolution and Behaviour, Department of Life Sciences, University of Roehampton , London , UK.

Funding

Biotechnology and Biological Sciences Research Council 2016YFE01242200
6 · The paper itself

Abstract

Vocalizations carry emotional, physiological and individual information. This suggests that they may serve as potentially useful indicators for inferring animal welfare. At the same time, automated methods for analysing and classifying sound have developed rapidly, particularly in the fields of ecology, conservation and sound scene classification. These methods are already used to automatically classify animal vocalizations, for example, in identifying animal species and estimating numbers of individuals. Despite this potential, they have not yet found widespread application in animal welfare monitoring. In this review, we first discuss current trends in sound analysis for ecology, conservation and sound classification. Following this, we detail the vocalizations produced by three of the most important farm livestock species: chickens ( Gallus gallus domesticus), pigs ( Sus scrofa domesticus) and cattle ( Bos taurus). Finally, we describe how these methods can be applied to monitor animal welfare with new potential for developing automated methods for large-scale farming.

Indexed as

Animal HusbandryAnimal WelfareVocalization, AnimalAnimalsCattleChickensSus scrofaanimal behaviouranimal callsecoacousticsmachine learningprecision livestock farmingsound scene analysis

Identifiers

PMID31213168
PMCPMC6597774

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.