Evidence map›Paper›PMID 24753572›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Storytelling and story testing in domestication.

Pascale Gerbault, Robin G Allaby, Nicole Boivin, Anna Rudzinski, Ilaria M Grimaldi, J Chris Pires, Cynthia Climer Vigueira, Keith Dobney, Kristen J Gremillion, Loukas Barton and 12 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Article
  2. Cultural evolution: Where we have been and where we are going (maybe).Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Peer community journal · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Sometimes hidden but always there: the assumptions underlying genetic inference of demographic histories.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Testing Domestication Scenarios of Lima Bean (Frontiers in plant science · 2017
    Article
  15. Twenty-first century approaches to ancient problems: Climate and society.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. The Genetic Architecture of Domestication in Animals.Bioinformatics and biology insights · 2015
    Article
  20. Current perspectives and the future of domestication studies.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
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

22 authors.

Pascale GerbaultResearch Department of Genetics, Evolution, and Environment and University College London Genetics Institute, University College London, London WC1E 6BT, United Kingdom.
Robin G Allaby
Nicole Boivin
Anna Rudzinski
Ilaria M Grimaldi
J Chris Pires
Cynthia Climer Vigueira
Keith Dobney
Kristen J Gremillion
Loukas Barton
Manuel Arroyo-Kalin
Michael D Purugganan
Rafael Rubio de Casas
Ruth Bollongino
Joachim Burger
Dorian Q Fuller
Daniel G Bradley
David J Balding
Peter J Richerson
M Thomas P Gilbert
Greger Larson
Mark G Thomas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The domestication of plants and animals marks one of the most significant transitions in human, and indeed global, history. Traditionally, study of the domestication process was the exclusive domain of archaeologists and agricultural scientists; today it is an increasingly multidisciplinary enterprise that has come to involve the skills of evolutionary biologists and geneticists. Although the application of new information sources and methodologies has dramatically transformed our ability to study and understand domestication, it has also generated increasingly large and complex datasets, the interpretation of which is not straightforward. In particular, challenges of equifinality, evolutionary variance, and emergence of unexpected or counter-intuitive patterns all face researchers attempting to infer past processes directly from patterns in data. We argue that explicit modeling approaches, drawing upon emerging methodologies in statistics and population genetics, provide a powerful means of addressing these limitations. Modeling also offers an approach to analyzing datasets that avoids conclusions steered by implicit biases, and makes possible the formal integration of different data types. Here we outline some of the modeling approaches most relevant to current problems in domestication research, and demonstrate the ways in which simulation modeling is beginning to reshape our understanding of the domestication process.

Indexed as

NarrationAnimalsAnimals, DomesticCrops, AgriculturalHumansHybridization, GeneticModels, BiologicalagricultureevolutioninferencemodelNeolithic

Identifiers

PMID24753572
PMCPMC4035932

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.