ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2022
Quantifying the dynamics of nearly 100 years of dominance hierarchy research.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
The trial behind it
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Who cites it
8 citing papers in PubMed.
- Toward an evolutionary ecology of (in)equality.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Mixed-species groups and the question of dominance in the social ecosystem.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Sex differences in cooperative coalitions: a mammalian perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- The establishment and maintenance of dominance hierarchies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Hot-headed peckers: thermographic changes during aggression among juvenile pheasants (Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- The dynamics of dominance: open questions, challenges and solutions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- DomArchive: a century of published dominance data.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase 'dominance hierarchy', resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field's history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature. This article is part of the theme issue 'The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies'.
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Registered trials
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.