Cited by 537Animal Behavior and Welfare StudiesHuman-Animal Interaction StudiesGeographies of human-animal interactions

Human–animal interactions in livestock production

Hemsworth, P.H·2003·Applied Animal Behaviour Science

Integrity signals

Registry

Crossref · 10.1016/s0168-1591(02)00280-0

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Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Human interactions such as hitting, shouting, rough handling, sudden movements and loud noises can be perceived as negative by animals and increase fear of humans.

    “Research showed that human interactions such as hitting, shouting, rough handling, sudden movements and loud noises can be perceived as negative by the animals and, therefore, increase fear of humans [19].”

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Authors
Hemsworth, P. H.
Affiliations
The University of Melbourne (AU)
Corresponding author
Hemsworth, P.H
Venue
Applied Animal Behaviour Science
Publisher
Elsevier BV
Published
2003-05
Volume
81
Issue
3
Pages
185-198
ISSN
0168-1591 (ISSN-L)
OpenAlex
W1968271053
Cited by
537
References
0
Citations by year
2026: 20 · 2025: 25 · 2024: 25 · 2023: 44 · 2022: 35 · 2021: 29 · 2020: 55 · 2019: 21 · 2018: 22 · 2017: 22 · 2016: 21 · 2015: 18 · 2014: 23 · 2013: 36 · 2012: 25
FWCI
14.32
Type
journal article
Language
en
Open access
closed
Locations
Applied Animal Behaviour Science (publishedVersion)
Topics
  • Health Sciences › Veterinary › Small Animals › Animal Behavior and Welfare Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Human-Animal Interaction Studies
  • Social Sciences › Geography, Planning and Development › Geographies of human-animal interactions
Keywords
human-animal interaction, livestock handling, animal welfare, fear of humans, stress, animal productivity, cognitive-behavioural intervention, dairy cattle, pigs, selection tools

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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