Evidence map›Paper›PMID 32655205›Full record

ArticleEnvironment and planning. D, Society & space2019

Attuning to laboratory animals and telling stories: Learning animal geography research skills from animal technologists.

Beth Greenhough, Emma Roe

Open access · bronzeAbstract read
In one paragraph

Article in Environment and planning. D, Society & space, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
17.7field-weighted citation impact, top 1% 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

9 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Rehoming Laboratory Rats: Exploring Perceptions of Rehomers, Animal Technicians, and Biomedical Researchers.Journal of the American Association for Laboratory Animal Science : JAALAS · 2026
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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.

Beth GreenhoughSchool of Geography and the Environment, University of Oxford, UK.
Emma RoeSchool of Geography and Environmental Sciences, University of Southampton, UK.
University of Oxford · GBUniversity of Southampton · GB

Funding

Wellcome Trust 205393/Z/16/Z
6 · The paper itself

Abstract

Posthumanism has challenged the social sciences and humanities to rethink anthopocentricism within the cultures and societies they study and to take account of more-than-human agencies and perspectives. This poses key methodological challenges, including a tendency for animal geographies to focus very much on the human side of human-animal relations and to fail to acknowledge animals as embodied, lively, articulate political subjects. In this paper, we draw on recent ethnographic work, observing and participating in the care of research animals and interviewing the animal technologists, to contribute to the understandings of life within the animal house. In so doing, the paper makes three key arguments. Firstly, that studying how animal technologists perform everyday care and make sense of their relationships with animals offers useful insights into the specific skills, expertise and relationships required in order to study human-animal relations. Secondly, that animal technologists are keenly aware of the contested moralities which emerge in animal research environments and can offer an important position from which to understand this. Thirdly, that storytelling (exemplified by the stories told by animal technologists) is a useful resource for animal geographers to engage with complexity in human-animal relations.

Indexed as

Animal geographiesanimal researchattunementethicsethnographystorytelling

Identifiers

PMID32655205
PMCPMC7322828
OpenAlexW2898747243

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.