Evidence map›Paper›PMID 32582854›Full record

ArticleScience advances2020

Bows and arrows and complex symbolic displays 48,000 years ago in the South Asian tropics.

Michelle C Langley, Noel Amano, Oshan Wedage, Siran Deraniyagala, M M Pathmalal, Nimal Perera, Nicole Boivin, Michael D Petraglia, Patrick Roberts

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  4. Review
  5. iScience · 2026
    Article
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  9. Article
  10. Article
  11. Forest mosaics, not savanna corridors, dominated in Southeast Asia during the Last Glacial Maximum.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Article
  13. Article
  14. Riddles wrapped inside an enigma. Lupemban MSA technology as a rainforest adaptation: revisiting the lanceolate point.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  15. Tropical forests in the deep human past.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  16. Article
  17. Article
  18. 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

9 authors.

Michelle C LangleyAustralian Research Centre for Human Evolution, Environmental Futures Research Institute, Griffith University, Nathan, Brisbane, Queensland, Australia.ORCID 0000-0002-0299-5561
Noel AmanoDepartment of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany.
Oshan WedageDepartment of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany.
Siran DeraniyagalaDepartment of Archaeology, Government of Sri Lanka, Colombo, Sri Lanka.
M M PathmalalDepartment of Zoology, Centre for Water Quality and Algae Research, University of Sri Jayewardenepura, Gangodawila, Nugegoda, Sri Lanka.
Nimal PereraDepartment of Archaeology, Government of Sri Lanka, Colombo, Sri Lanka.
Nicole BoivinDepartment of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany.ORCID 0000-0002-7783-4199
Michael D PetragliaDepartment of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany.ORCID 0000-0003-2522-5727
Patrick RobertsDepartment of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Archaeologists contend that it was our aptitude for symbolic, technological, and social behaviors that was central to

Identifiers

PMID32582854
PMCPMC7292635

What OpenQuestion holds

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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.